{"id":51,"date":"2018-09-11T13:07:54","date_gmt":"2018-09-11T04:07:54","guid":{"rendered":"http:\/\/teweb.k.kumamoto-nct.ac.jp\/lab\/motoki-lab\/wordpress\/?page_id=51"},"modified":"2025-07-03T16:52:57","modified_gmt":"2025-07-03T07:52:57","slug":"publication","status":"publish","type":"page","link":"https:\/\/www.te.kumamoto-nct.ac.jp\/lab\/motoki-lab\/wordpress\/publication\/","title":{"rendered":"Publication"},"content":{"rendered":"<h2 style=\"text-align: left;\">1. \u7814\u7a76\uff08Research\uff09<\/h2>\n<ul>\n<li>\u591a\u5c64SAM\u30b9\u30d1\u30a4\u30ad\u30f3\u30b0\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306b\u3088\u308bActor-Critic\u30e2\u30c7\u30eb, \u672c\u6728 \u5b9f<span style=\"font-size: 13.3333px;\">,<\/span>\u00a0 \u5ee3\u5ca1, \u5e73\u592a\u90ce, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a, NC2024-87,(2025).<\/li>\n<li>An Evaluation of Handwriting Digit Recognition Using Multilayer SAM Spiking Neural Network, Minoru Motoki, Heitaro Hirooka, Youta Murakami, Ryuji Waseda, Terumitsu Nishimuta, Chapter, DOI: 10.1007\/978-3-031-47508-5_8, In book: Advances in Computational Intelligence Systems(2023).<\/li>\n<li>Actor-Critic Reinforcement Learning Using On-Chip Trainable Multilayer SAM Spiking Neural Network, Minoru Motoki, Yu Oshiro, Ryuji Waseda, and Terumitsu Nishimuta, Proceeding of 4th International symposium of neuromorphic AI hardware, p.47, P2-15, (2023).<\/li>\n<li>SAM\u30b9\u30d1\u30a4\u30ad\u30f3\u30b0\u30cb\u30e5\u30fc\u30ed\u30f3\u30e2\u30c7\u30eb\u306e\u983b\u5ea6\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u306b\u304a\u3051\u308b\u57fa\u672c\u7279\u6027, \u672c\u6728 \u5b9f, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1aNC2021-63, pp.88-93(2022).<\/li>\n<li>An FPGA Implementation of OnChip Trainable Multilayer SAM Spiking Neural Network, Minoru Motoki, Terumitsu Nishimuta, Ryuji Waseda,\u00a0The 9th IIAE International Conference on Industrial Application Engineering 2020, pp.144-148\u00a0 (2021).<\/li>\n<li>SAM\u30b9\u30d1\u30a4\u30ad\u30f3\u30b0\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306b\u3088\u308b\u95a2\u6570\u8fd1\u4f3c\u306e\u6027\u80fd\u8a55\u4fa1\uff0c\u672c\u6728 \u5b9f\uff0c\u897f\u725f\u7530\u8f1d\u6e80\uff0c\u4ee4\u548c\u5143\u5e74\u5ea6\u96fb\u6c17\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a3-085\uff0cp.122 (2020)\uff0e<\/li>\n<li>3D \u30ab\u30e1\u30e9\u6e2c\u5b9a\u88c5\u7f6e\u3092\u7528\u3044\u305f\u65b0\u305f\u306a\u56a5\u4e0b\u6a5f\u80fd\u8a55\u4fa1\u6cd5\u306e\u57fa\u790e\u7684\u7814\u7a76\uff1a<br \/>\n\u7814\u7a76\u2160 \u6700\u9069\u6761\u4ef6\u306e\u691c\u8a0e\uff0c\u4e0a\u539f\u548c\u590f\uff0c\u897f\u725f\u7530\u9678\u4eba\uff0c\u6f81\u8c37\u967d\u4ecb\uff0c\u6c60\u7530\u3055\u3084\uff0c\u53e4\u9591\u516c\u6cbb\uff0c\u672c\u6728\u3000\u5b9f\uff0c\u7b2c14\u56de\u65e5\u672c\u81e8\u5e8a\u691c\u67fb\u5b66\u6559\u80b2\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u6284\u9332\u96c6\uff0c\u81e8\u5e8a\u691c\u67fb\u5b66\u6559\u80b2\u2002Vol. 11\uff0cp.103\uff0c(2019)\uff0e<strong>\u512a\u79c0\u767a\u8868\u8cde\u53d7\u8cde<\/strong><\/li>\n<li>3D\u30ab\u30e1\u30e9\u6e2c\u5b9a\u88c5\u7f6e\u3092\u7528\u3044\u305f\u65b0\u305f\u306a\u56a5\u4e0b\u6a5f\u80fd\u8a55\u4fa1\u6cd5\u306e\u57fa\u790e\u7684\u7814\u7a76\uff1a<br \/>\n\u7814\u7a76\u2161 \u691c\u67fb\u98df\u306b\u3088\u308b\u56a5\u4e0b\u904b\u52d5\u3078\u306e\u5f71\u97ff\uff0c\u9ed2\u6728\u7f8e\u5e06\uff0c\u7530\u4e45\u898b\u7ffc\uff0c\u5869\u7530\u5948\u696d\uff0c\u91ce\u4e2d\u5ba5\u90a3\uff0c\u53e4\u9591\u516c\u6cbb\uff0c\u672c\u6728\u3000\u5b9f\uff0c\u7b2c14\u56de\u65e5\u672c\u81e8\u5e8a\u691c\u67fb\u5b66\u6559\u80b2\u5b66\u4f1a\u5b66\u8853\u5927\u4f1a\u6284\u9332\u96c6\uff0c\u81e8\u5e8a\u691c\u67fb\u5b66\u6559\u80b2\u2002Vol. 11\uff0cp.103\uff0c(2019)\uff0e<\/li>\n<li>Raw EMG Wave Pattern Recognition Using Multilayer SAM Spiking Neural Network,\u00a0Saki Shouji, Arata Hayashi and Minoru Motoki, Proc. of SICE Annual Conference 2018, pp.1286-1287 (2018).\uff08\u67fb\u8aad\u4ed8\uff09<\/li>\n<li>\u96fb\u529b\u4f9b\u7d66\u91cf\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u6642\u7cfb\u5217\u4e88\u6e2c\u554f\u984c\u306b\u5bfe\u3059\u308b\u5404\u7a2e\u6a5f\u68b0\u5b66\u7fd2\u624b\u6cd5\u53ca\u3073\u63d0\u6848\u624b\u6cd5\u306e\u6bd4\u8f03\u691c\u8a3c\uff0c\u6709\u6751\u548c\u771f\uff0c\u65b0\u8c37\u6d0b\u4eba\uff0c\u672c\u6728\u3000\u5b9f\uff0c\u7b2c17\u56de\u60c5\u5831\u79d1\u5b66\u6280\u8853\u30d5\u30a9\u30fc\u30e9\u30e0(FIT2018)\uff0c\u8b1b\u6f14\u8ad6\u6587\u96c6F-011 (2018). <strong>FIT\u5968\u52b1\u8cde\u53d7\u8cde<\/strong><\/li>\n<li>\u5b66\u751f\u652f\u63f4\u306e\u305f\u3081\u306e\u6642\u7cfb\u5217\u51fa\u5e2d\u30c7\u30fc\u30bf\u306eDTW\u8ddd\u96e2\u306b\u3088\u308b\u985e\u4f3c\u5ea6\u8a55\u4fa1\u89e3\u6790\uff0c\u767e\u6b66\u9f8d\u4e4b\u4ecb\uff0c\u672c\u6728 \u5b9f\uff0c\u77f3\u6a4b\u5b5d\u662d\uff0c\u65b0\u8c37\u6d0b\u4eba\uff0c2018\u5e74\u5ea6\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u4e5d\u5dde\u652f\u90e8\u5b66\u751f\u4f1a\u8b1b\u6f14\u4f1a\uff0c\u8b1b\u6f14\u8ad6\u6587\u96c6D-10(2018)<\/li>\n<li>Comparative verification of machine learning method to predict power consumption\uff0c\u6709\u6751\u548c\u99ac\uff0c\u65b0\u8c37\u6d0b\u4eba\uff0c\u672c\u6728 \u5b9f\uff0c2018\u5e74\u5ea6\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u4e5d\u5dde\u652f\u90e8\u5b66\u751f\u4f1a\u8b1b\u6f14\u4f1a\u30fb\u8b1b\u6f14\u8ad6\u6587\u96c6IS-4(\u56fd\u969b\u30dd\u30b9\u30bf\u30fc\u30bb\u30c3\u30b7\u30e7\u30f3) (2018)\uff0e<\/li>\n<li>Function Approximation Using Multilayer SAM Spiking Neural Network\uff0cM.Motoki, H.Shintani, K.Matsuo, TM.McGinnity, Proc. of IEEE 8th International Innovative Computing Technology (INTECH2018), pp.65-70 (2018)\uff0e\uff08\u67fb\u8aad\u4ed8\uff09\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000<strong><span style=\"color: red;\"><em>\u203bErrata\u3000This paper has a mistake that right hand side of Eq.(27) should be added &#8211; (minus) . We apologize for the correction. (If the Eq. does not has the minus, its learning is not a right gradient method. However, if the Eq. does not has the minus, the learning will be progressing due to its link weights updating.)<\/em><\/span><\/strong><\/li>\n<li>SAM\u30b9\u30d1\u30a4\u30ad\u30f3\u30b0\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306eFPGA\u5b9f\u88c5\u306b\u304a\u3051\u308b\u56fa\u5b9a\u5c0f\u6570\u70b9\u6570\u8868\u73fe\u306e\u691c\u8a0e\uff0c\u9ebb\u751f \u96c4\u592a, \u677e\u5c3e \u548c\u5178, \u65b0\u8c37 \u6d0b\u4eba, \u672c\u6728 \u5b9f, \u897f\u725f\u7530 \u8f1d\u6e80\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7b2c31\u56de \u56de\u8def\u3068\u30b7\u30b9\u30c6\u30e0\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 (KWS31)\u8ad6\u6587\u96c6, pp.276-279 (2018)\uff0e\uff08\u67fb\u8aad\u4ed8\uff09<\/li>\n<li>SAM\u30b9\u30d1\u30a4\u30ad\u30f3\u30b0\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306eFPGA\u5b9f\u88c5\u306b\u95a2\u3059\u308b\u691c\u8a0e\uff0c\u672c\u6728 \u5b9f\uff0c\u677e\u5c3e\u548c\u5178\uff0c\u65b0\u8c37\u6d0b\u4eba\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u3000\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\uff0cNC2017-65, pp.89-94 (2018)\uff0e\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000<strong><span style=\"color: red;\"><em>\u203b\u8a02\u6b63\u3000\u672c\u8ad6\u6587\u306e(27)\u5f0f\uff08\u95be\u5024\u03b8\u306e\u5b66\u7fd2\uff09\u306b\u8aa4\u308a\u304c\u3042\u308a\uff0c\u53f3\u8fba\u306b\u30de\u30a4\u30ca\u30b9\uff08\u30fc\uff09\u304c\u4ed8\u304d\u307e\u3059\uff0e\u304a\u8a6b\u3073\u3057\u3066\u8a02\u6b63\u3044\u305f\u3057\u307e\u3059\uff0e\uff08\u30de\u30a4\u30ca\u30b9\u304c\u4ed8\u304b\u306a\u3044\u5834\u5408\u306f\uff0c\u6b63\u3057\u3044\u52fe\u914d\u6cd5\u3067\u306f\u3042\u308a\u307e\u305b\u3093\uff0e\u305f\u3060\u3057\uff0c\u30de\u30a4\u30ca\u30b9\u304c\u4ed8\u304b\u306a\u3044\u5834\u5408\u3067\u3082\u7d50\u5408\u8377\u91cd\u306e\u5b66\u7fd2\u306b\u3088\u308a\u5b66\u7fd2\u306f\u9032\u3093\u3067\u3044\u304d\u307e\u3059\uff0e\uff09<\/em><\/span><\/strong><\/li>\n<li>SAM\u30b9\u30d1\u30a4\u30ad\u30f3\u30b0\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306b\u3088\u308b\u95a2\u6570\u8fd1\u4f3c\uff0c\u672c\u6728 \u5b9f\uff0c\u65b0\u8c37\u6d0b\u4eba\uff0c\u4f50\u3005\u6804\u6cbb\u90ce\uff0c\u67f4\u7530\u514b\u6210\uff0c\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a \u30b7\u30b9\u30c6\u30e0\u30fb\u60c5\u5831\u90e8\u9580\u5b66\u8853\u8b1b\u6f14\u4f1a SSI2017\u8b1b\u6f14\u8ad6\u6587\u96c6 pp.126-131\uff0cGS04-6\u00a0 (2017)\uff0e<\/li>\n<li>\u8133\u578b\u30d7\u30ed\u30bb\u30c3\u30b5\u5236\u5fa1\u578b\u7b4b\u96fb\u7fa9\u624b\u306e\u305f\u3081\u306e\u4eba\u5de5\u7b4b\u8089\u306b\u95a2\u3059\u308b\u57fa\u790e\u7684\u7814\u7a76\uff0c\u677e\u7530\u6e13\uff0c\u672c\u6728\u5b9f\uff0c\u5e73\u621029\u5e74\u5ea6\u7b2c26\u56de\u96fb\u5b50\u60c5\u5831\u7cfb\u9ad8\u5c02\u30d5\u30a9\u30fc\u30e9\u30e0\u767a\u8868\u8ad6\u6587\u96c6\uff0cpp.21-24 (2017)\uff0e<\/li>\n<li>SAM\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306b\u3088\u308b\u95a2\u6570\u8fd1\u4f3c\u3068\u6c4e\u5316\u80fd\u529b\u306e\u691c\u8a3c\uff0c\u4f50\u3005\u6804\u6cbb\u90ce\uff0c\u672c\u6728\u5b9f\uff0c\u5e73\u621029\u5e74\u5ea6\u7b2c26\u56de\u96fb\u5b50\u60c5\u5831\u7cfb\u9ad8\u5c02\u30d5\u30a9\u30fc\u30e9\u30e0\u767a\u8868\u8ad6\u6587\u96c6\uff0cpp.25-28 (2017)\uff0e<\/li>\n<li>Kinect \u3092\u7528\u3044\u305f\u5065\u5e38\u8005\u306b\u304a\u3051\u308b\u975e\u4fb5\u8972\u30fb\u975e\u63a5\u89e6\u578b\u56a5\u4e0b\u6a5f\u80fd\u8a55\u4fa1\u6cd5\u306e\u7814\u7a76\uff0c\u7af9\u8c37\u525b\u751f\uff0c\u53e4\u9591\u516c\u6cbb\uff0c\u4e45\u4fdd\u9ad8\u660e\uff0c\u5927\u585a\u88d5\u4e00\uff0c\u5bae\u672c\u6075\u7f8e\uff0c\u8239\u8d8a\u548c\u7f8e\uff0c\u672c\u6728\u5b9f\uff0c\u4fdd\u5065\u79d1\u5b66\u7814\u7a76\u8a8c Journal of Health Sciences No.14\uff1a103\uff0d113(2017)\uff0e\uff08\u67fb\u8aad\u4ed8\uff09<\/li>\n<li>DC\u30d6\u30e9\u30b7\u30ec\u30b9\u30e2\u30fc\u30bf\u30fc\u30dd\u30b8\u30b7\u30e7\u30ca\u306b\u95a2\u3059\u308b \u5236\u5fa1\u30b2\u30a4\u30f3\u306e\u81ea\u52d5\u8abf\u6574\uff0c\u6771\u5c06\u592a\uff0c\u672c\u6728\u5b9f\uff0c\u585a\u672c\u6643\u53f2\uff0c\u5e73\u621027\u5e74\u5ea6\uff0c\u7b2c6\u56de\u96fb\u6c17\u5b66\u4f1a\u4e5d\u5dde\u652f\u90e8\u9ad8\u5c02\u7814\u7a76\u8b1b\u6f14\u4f1a\u8ad6\u6587\u96c6\uff0cpp.43-44\uff082016\uff09\uff0e<span style=\"color: red;\"><b>\uff08\u672c\u7814\u7a76\u6210\u679c\u306f\uff0c\u5730\u5143\u4f01\u696d\u3055\u3093\u306e\u5e74\u9593\u7d04250\u4e07\u5186\u306e\u30b3\u30b9\u30c8\u524a\u6e1b\u3068\u3044\u3046\u8ca2\u732e\u306b\u7e4b\u304c\u308a\u307e\u3057\u305f\uff09<\/b><\/span><\/li>\n<li>Implementation of directional characteristics by real-time processing of sounds observed by three microphones&#8221;,K.Hayama, T.Ishibashi, H.Shintani, M.Motoki and H.Gotanda, Proc. of the 3rd IIAE International Conference on Intelligent Systems and Image Processing, pp.305-308 (2015).\uff08\u67fb\u8aad\u4ed8\uff09<\/li>\n<li>A Simple Device for Response Time Measurement of Patellar Tendon Reflex by Using Gyro Sensors and Microcontroller, K.Hayama, T.Ishibashi, H.Shintani, M.Motoki and H.Koga, Proc. of Life Engineering Symposium 2015, pp. 321-322 (2015).<\/li>\n<li>Low-cost EMG measurement device for hands-free wheelchair control, T.Ishibashi, Y.Oshiro, H. Shintani, M.Motoki, K.Hayama and H.Ohtsuka, Proc.of Life Engineering Symposium 2015, pp. 56-57 (2015).<\/li>\n<li>\u975e\u63a5\u89e6\u578b\u30bb\u30f3\u30b5\u3092\u7528\u3044\u305f\u56a5\u4e0b\u52d5\u4f5c\u89e3\u6790\u6cd5\u306e\u4e00\u63d0\u6848\uff0c\u718a\u5ddd\u745b\u81f3\uff0c\u672c\u6728\u5b9f\uff0c\u53e4\u9591\u516c\u6cbb\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u60c5\u5831\u30fb\u30b7\u30b9\u30c6\u30e0\u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u7279\u5225\u4f01\u753b\u5b66\u751f\u30dd\u30b9\u30bf\u30fc\u30bb\u30c3\u30b7\u30e7\u30f3\u4e88\u7a3f\u96c6\uff0cISS-SP-219(2015)\uff0e<\/li>\n<li>\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u3092\u7528\u3044\u305f\u30d0\u30e9\u30f3\u30b9\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u652f\u63f4\u6a5f\u5668\u306e\u88fd\u4f5c\uff0c\u5ca9\u5d0e\u5e0c\u7950\uff0c\u672c\u6728\u5b9f\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u60c5\u5831\u30fb\u30b7\u30b9\u30c6\u30e0\u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u7279\u5225\u4f01\u753b\u5b66\u751f\u30dd\u30b9\u30bf\u30fc\u30bb\u30c3\u30b7\u30e7\u30f3\u4e88\u7a3f\u96c6\uff0cISS-SP-218 (2015).<\/li>\n<li>SAM\u578b\u30d1\u30eb\u30b9\u30cb\u30e5\u30fc\u30ed\u30f3\u30e2\u30c7\u30eb\u306e\u8aa4\u308a\u8a02\u6b63\u5b66\u7fd2\u3068\u305d\u306eHDL\u8a2d\u8a08,\u672c\u6728\u5b9f,\u677e\u5c3e\u548c\u5178,\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\uff0c\u7b2c27\u56de\u56de\u8def\u3068\u30b7\u30b9\u30c6\u30e0\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u8b1b\u6f14\u8ad6\u6587\u96c6,pp244-249 (2014).\uff08\u67fb\u8aad\u4ed8\uff09<\/li>\n<li>Kinect\u3092\u7528\u3044\u305f\u88f8\u773c3D\u30c7\u30a3\u30b9\u30d7\u30ec\u30a4\u8868\u793a\u306b\u95a2\u3059\u308b\u7814\u7a76,\u76db\u9ad8\u6dbc\u8f14,\u672c\u6728\u5b9f,\u7b2c19\u56de\u9ad8\u5c02\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0in\u4e45\u7559\u7c73\u8b1b\u6f14\u8981\u65e8\u96c6\uff0cp.407 (2014).<\/li>\n<li>\u4e57\u7b97\u5668\u304c\u4e0d\u8981\u306a\u30d1\u30eb\u30b9\u30cb\u30e5\u30fc\u30ed\u30f3\u30e2\u30c7\u30eb\u306e\u5b9f\u6570\u5024\u5165\u51fa\u529b,\u672c\u6728\u5b9f\u3001\u7d30\u4e95\u4f51\u8f14\uff0c\u677e\u5c3e\u548c\u5178\uff0c\u718a\u672c\u9ad8\u7b49\u5c02\u9580\u5b66\u6821\u7814\u7a76\u7d00\u8981\u7b2c3\u53f7\uff0cp.77-80\u00a0 (2011).<\/li>\n<li>VDEC CAD\u3092\u7528\u3044\u305f\u30d1\u30eb\u30b9\u30cb\u30e5\u30fc\u30ed\u30c1\u30c3\u30d7\u306e\u8a2d\u8a08,\u8ef8\u5c4b\u5553\u592a\uff0c\u672c\u6728\u5b9f\uff0c\u677e\u5c3e\u548c\u5178\uff0c\u9ed2\u5ddd\u61b2\u5b8f\uff0c\u5c71\u672c\u535a\u5eb7\uff0c\u7b2c3\u56de\u534a\u5c0e\u4f53\u6750\u6599\u30fb\u30c7\u30d0\u30a4\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u4e88\u7a3f\u96c6\uff0cpp.71-72 (2011).<\/li>\n<li>\u30d1\u30eb\u30b9\u30cb\u30e5\u30fc\u30ed\u30f3\u30e2\u30c7\u30eb\u306e\u30cf\u30fc\u30c9\u30a6\u30a8\u30a2\u5b9f\u88c5,\u7d30\u4e95\u52c7\u4f51\uff0c\u672c\u6728\u5b9f\uff0c\u677e\u5c3e\u548c\u5178\uff0c\u9ed2\u5ddd\u61b2\u5b8f\uff0c\u5c71\u672c\u535a\u5eb7\uff0c\u7b2c3\u56de\u534a\u5c0e\u4f53\u6750\u6599\u30fb\u30c7\u30d0\u30a4\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u4e88\u7a3f\u96c6\uff0cpp.40-41 (2011)\uff0e<\/li>\n<li>RPROP\u3092\u7528\u3044\u305f\u30d1\u30eb\u30b9\u30cb\u30e5\u30fc\u30ed\u30f3\u30e2\u30c7\u30eb\u306e\u5b66\u7fd2\u9ad8\u901f\u5316,\u7d30\u4e95\u52c7\u4f51\uff0c\u677e\u5c3e\u548c\u5178\uff0c\u672c\u6728\u5b9f\uff0c\u9ed2\u5ddd\u61b2\u5b8f\uff0c\u5c71\u672c\u535a\u5eb7\uff0c\u7b2c10\u56de\u96fb\u5b50\u60c5\u5831\u7cfb\u9ad8\u5c02\u30d5\u30a9\u30fc\u30e9\u30e0\u4e88\u7a3f\u96c6\uff0cpp.111-114 (2011).<\/li>\n<li>\u30cf\u30fc\u30c9\u30a6\u30a8\u30a2\u5316\u306e\u305f\u3081\u306e\u4e57\u7b97\u5668\u304c\u4e0d\u8981\u306a\u30d1\u30eb\u30b9\u30cb\u30e5\u30fc\u30ed\u30f3\u30e2\u30c7\u30eb,\u7d30\u4e95\u52c7\u4f51\uff0c\u677e\u5c3e\u548c\u5178\uff0c\u9ed2\u5ddd\u61b2\u5b8f\uff0c\u5c71\u672c\u535a\u5eb7\uff0c\u672c\u6728\u5b9f,\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\uff0cNC2011-39\uff0cVol.111\uff0cNo157\uff0cpp.87-92 (2011).<\/li>\n<li>VDEC CAD\u3092\u7528\u3044\u305fASIC\u8a2d\u8a08,\u8ef8\u5c4b\u5553\u592a\uff0c\u672c\u6728\u5b9f\uff0c\u677e\u5c3e\u548c\u5178\uff0c\u5927\u5c71\u82f1\u5178\uff0c\u5c71\u672c\u535a\u5eb7\uff0c\u9ed2\u5ddd\u61b2\u5b8f\uff0c\u7b2c2\u56de\u534a\u5c0e\u4f53\u6750\u6599\u30fb\u30c7\u30d0\u30a4\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u4e88\u7a3f\u96c6\uff0cpp.158-159 (2010).<\/li>\n<li>\u968e\u5c64\u578b\u30d1\u30eb\u30b9\u30cb\u30e5\u30fc\u30ed\u30f3\u30e2\u30c7\u30eb\u306b\u304a\u3051\u308b\u5b66\u7fd2\u5247,\u7d30\u4e95\u52c7\u4f51\uff0c\u672c\u6728\u5b9f\uff0c\u677e\u5c3e\u548c\u5178\uff0c\u5927\u5c71\u82f1\u5178\uff0c\u5c71\u672c\u535a\u5eb7\uff0c\u9ed2\u5ddd\u61b2\u5b8f,\u7b2c2\u56de\u534a\u5c0e\u4f53\u6750\u6599\u30fb\u30c7\u30d0\u30a4\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u4e88\u7a3f\u96c6\uff0cpp.170-171 (2010).<\/li>\n<li>\u30cb\u30e5\u30fc\u30ed\u30c7\u30d0\u30a4\u30b9\u3092\u7528\u3044\u305f\u753b\u50cf\u8a8d\u8b58\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a,\u6c34\u4e0a\u90c1\u592a\u90ce\uff0c\u672c\u6728\u5b9f\uff0c\u677e\u5c3e\u548c\u5178\uff0c\u5927\u5c71\u82f1\u5178\uff0c\u9ed2\u5ddd\u61b2\u5b8f\uff0c\u5c71\u672c\u535a\u5eb7,\u3000\u7b2c1\u56de\u534a\u5c0e\u4f53\u6750\u6599\u30fb\u30c7\u30d0\u30a4\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u4e88\u7a3f\u96c6,pp.102-103 (2010).<\/li>\n<li>\u4eba\u5de5\u77e5\u80fd\u30c7\u30d0\u30a4\u30b9\u3092\u76ee\u6307\u3057\u305fFPGA\u306b\u3088\u308b\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58,\u672c\u7530\u9054\u77e2\uff0c\u672c\u6728\u5b9f\uff0c\u677e\u5c3e\u548c\u5178\uff0c\u5927\u5c71\u82f1\u5178\uff0c\u9ed2\u5ddd\u61b2\u5b8f\uff0c\u5c71\u672c\u535a\u5eb7,\u7b2c1\u56de\u534a\u5c0e\u4f53\u6750\u6599\u30fb\u30c7\u30d0\u30a4\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u4e88\u7a3f\u96c6,pp.100-101 (2010).<\/li>\n<li>\u30c7\u30a3\u30b8\u30bf\u30eb\u30cb\u30e5\u30fc\u30ed\u30c7\u30d0\u30a4\u30b9\u306e\u958b\u767a\u3068\u8a2d\u8a08\u958b\u767a\u74b0\u5883\u306e\u6574\u5099,\u85e4\u7530\u667a\u5927\uff0c\u672c\u6728\u5b9f\uff0c\u677e\u5c3e\u548c\u5178\uff0c\u5927\u5c71\u82f1\u5178\uff0c\u9ed2\u5ddd\u61b2\u5b8f\uff0c\u5c71\u672c\u535a\u5eb7,\u7b2c1\u56de\u534a\u5c0e\u4f53\u6750\u6599\u30fb\u30c7\u30d0\u30a4\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u4e88\u7a3f\u96c6,pp.98-99 (2010).<\/li>\n<li>\u95a2\u6570\u8fd1\u4f3c\u30cb\u30e5\u30fc\u30ed\u30c7\u30d0\u30a4\u30b9\u306e\u958b\u767a,\u9577\u5c3e\u5fe0\u4fca\uff0c\u672c\u6728\u5b9f\uff0c\u677e\u5c3e\u548c\u5178\uff0c\u5927\u5c71\u82f1\u5178\uff0c\u9ed2\u5ddd\u61b2\u5b8f\uff0c\u5c71\u672c\u535a\u5eb7,\u7b2c1\u56de\u534a\u5c0e\u4f53\u6750\u6599\u30fb\u30c7\u30d0\u30a4\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u4e88\u7a3f\u96c6,pp.96-97 (2010).<\/li>\n<li>\u30cb\u30e5\u30fc\u30ed\u30c7\u30d0\u30a4\u30b9\u3092\u7528\u3044\u305f\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58,\u672c\u7530\u9054\u77e2\uff0c\u6c34\u4e0a\u90c1\u592a\u90ce\uff0c\u672c\u6728\u5b9f\uff0c\u677e\u5c3e\u548c\u5178\uff0c\u5927\u5c71\u82f1\u5178\uff0c\u5c71\u672c\u535a\u5eb7\uff0c\u9ed2\u5ddd\u61b2\u5b8f\uff0c\u7b2c23\u56de\u718a\u672c\u770c\u7523\u5b66\u5b98\u6280\u8853\u4ea4\u6d41\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cpp.146-147 (2009).<\/li>\n<li>VHDL\u3092\u7528\u3044\u305f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u8a2d\u8a08,\u5343\u8449\u4eae\u592a\uff0c\u672c\u6728\u5b9f\uff0c\u677e\u5c3e\u548c\u5178\uff0c\u5927\u5c71\u82f1\u5178\uff0c\u9ed2\u5ddd\u61b2\u5b8f\uff0c\u5c71\u672c\u535a\u5eb7,\u7b2c22\u56de\u718a\u672c\u770c\u7523\u5b66\u5b98\u6280\u8853\u4ea4\u6d41\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cpp.148-149 (2008).<\/li>\n<li>\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306b\u3088\u308b\u8a18\u53f7\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u306b\u95a2\u3059\u308b\u8003\u5bdf,\u672c\u6728\u5b9f\uff0c\u677e\u5c3e\u548c\u5178,\u7b2c9\u56de\u65e5\u672c\u77e5\u80fd\u60c5\u5831\u30d5\u30a1\u30b8\u30a3\u5b66\u4f1a\u4e5d\u5dde\u652f\u90e8\u5b66\u8853\u8b1b\u6f14\u4f1a\u4e88\u7a3f\u96c6\uff0cDec.8\uff0cpp.27-30,(2007).<\/li>\n<li>\u8a18\u53f7\u5217\u3092\u5165\u51fa\u529b\u3068\u3059\u308b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u5b66\u7fd2\u6cd5,\u672c\u6728\u5b9f\uff0c\u51a8\u6d66\u6d0b\u4e00, \u9ad8\u6a4b\u76f4\u4eba,\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u8ad6\u6587\u8a8cVol.47,No.8,pp.2779-2791 (2006).\uff08\u67fb\u8aad\u4ed8\uff09<\/li>\n<li>Problems of FGREP Module and Their Solution,Minoru Motoki, Yoichi Tomiura, Naoto Takahashi,IEEE Third International Conference on Cognitive Informatics, in Canada pp.220-227 (2004).\uff08\u67fb\u8aad\u4ed8\uff09<\/li>\n<li>\u65e5\u672c\u8a9e\u8907\u6587\u306e\u305f\u3081\u306e\u30b3\u30cd\u30af\u30b7\u30e7\u30cb\u30b9\u30c8\u30b8\u30a7\u30cd\u30ec\u30fc\u30bf,\u798f\u7530\u5927\u8f14\uff0c\u672c\u6728\u5b9f\uff0c\u5d8b\u6d25\u597d\u751f,\u4e5d\u5dde\u7523\u696d\u5927\u5b66\u5de5\u5b66\u90e8\u7814\u7a76\u5831\u544a\u7b2c40\u53f7\u00a0 (2003)\uff0e<\/li>\n<li>\u8a18\u53f7\u8868\u73fe\u30d9\u30af\u30c8\u30eb\u5b66\u7fd2\u6a5f\u80fd\u3092\u6709\u3059\u308b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306e\u82f1\u8a9e\u524d\u7f6e\u8a5e\u53e5\u4fc2\u308a\u5148\u6c7a\u5b9a\u554f\u984c\u306b\u304a\u3051\u308b\u5b9f\u9a13\u7684\u8a55\u4fa1\uff0c\u672c\u6728\u5b9f\uff0c\u51a8\u6d66\u6d0b\u4e00\uff0c\u65e5\u9ad8\u9054\uff0c\u5d8b\u6d25\u597d\u751f\uff0c\u9ad8\u6a4b\u76f4\u4eba\uff0c\u4e5d\u5dde\u5927\u5b66\u5927\u5b66\u9662\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u79d1\u5b66\u7d00\u8981\uff0c\u7b2c10\u5dfb\uff0c\u7b2c1\u53f7\uff0cpp.51-56 (2003)\uff0e\uff08\u67fb\u8aad\u4ed8\uff09<\/li>\n<li>\u7d71\u5408\u30b3\u30cd\u30af\u30b7\u30e7\u30cb\u30b9\u30c8\u30e2\u30c7\u30eb\u306b\u3088\u308b\u65e5\u672c\u8a9e\u8907\u6587\u306e\u751f\u6210\uff0c\u672c\u6728\u5b9f\uff0c\u5d8b\u6d25\u597d\u751f\uff0c\u7b2c55\u56de\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u4e5d\u5dde\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0c10-1A-03 (2003\uff09\uff0e<\/li>\n<li>\u30b3\u30cd\u30af\u30b7\u30e7\u30cb\u30b9\u30c8\u65e5\u672c\u8a9e\u8907\u6587\u751f\u6210\u30b7\u30b9\u30c6\u30e0\uff0c\u798f\u7530\u5927\u8f14\uff0c\u672c\u6728\u5b9f\uff0c\u5d8b\u6d25\u597d\u751f\uff0c\u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a\u7b2c9\u56de\u5e74\u6b21\u5927\u4f1a\u767a\u8868\u8ad6\u6587,pp.461-464\uff082003\uff09\uff0e<\/li>\n<li>PP-attachment Ambiguity Resolution Using a Neural Network with Modified FGREP Method,Naoto Takahashi, Minoru Motoki, Yoshio Shimazu, Yoichi Tomiura, Tatsu Hitaka,Proceeding of the Second workshop on Natural Language Processing and Neural Networks, pp.1-7 (2001).\uff08\u67fb\u8aad\u4ed8\uff09<strong><span style=\"color: red;\"><b>\uff08\u5f53\u6642\u4e16\u754c\u30674\u4f4d\u7a0b\u5ea6\u306e\u6027\u80fd\u5b9f\u73fe\uff09<\/b><\/span><\/strong><\/li>\n<li>\u968e\u5c64\u578b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306b\u3088\u308b\u6df1\u5c64\u683c\u89e3\u6790,\u672c\u6728\u5b9f\uff0c\u5d8b\u6d25\u597d\u751f, \u9ad8\u6a4b\u76f4\u4eba\uff0c\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u8ad6\u6587\u8a8cVol.41, No.10,pp.2852-2862 (2000).\uff08\u67fb\u8aad\u4ed8\uff09<\/li>\n<li>\u30b3\u30cd\u30af\u30b7\u30e7\u30cb\u30b9\u30c8\u30e2\u30c7\u30eb\u306b\u3088\u308b\u65e5\u672c\u8a9e\u8907\u6587\u89e3\u6790\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u69cb\u9020\u4e0a\u306e\u6c4e\u5316\u80fd\u529b\uff0c\u672c\u6728\u5b9f\uff0c\u5d8b\u6d25\u597d\u751f\uff0c\u65e5\u672c\u8a8d\u77e5\u79d1\u5b66\u4f1a\u7b2c17\u56de\u5927\u4f1a\u8ad6\u6587\u96c6\uff0cpp.132-133\uff0c(2000)\uff0e<\/li>\n<li>\u5f62\u5bb9\u8a5e\uff0c\u526f\u8a5e\u3092\u542b\u3080\u65e5\u672c\u8a9e\u8907\u6587\u306e\u305f\u3081\u306e\u7d71\u5408\u30b3\u30cd\u30af\u30b7\u30e7\u30cb\u30b9\u30c8\u30e2\u30c7\u30eb\uff0c\u672c\u6728\u5b9f\uff0c\u5d8b\u6d25\u597d\u751f\uff0c\u7b2c51\u56de\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u4e5d\u5dde\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6 p.689 (1999\uff09\uff0e<\/li>\n<li>Composing Vectorial Representation for Noun Phrase Using Neural Networks,Naoto Takahashi, Minoru Motoki,Proceedings of the First Workshop on Natural Language Processing and Neural Networks, pp.14-23 (1999).\uff08\u67fb\u8aad\u4ed8\uff09<\/li>\n<li>Performance of Structual Generalization in Connectionist Japanese Complex Sentence Parser,Minoru Motoki, Yoshio Shimazu,Proceedings of 5th Natural Language Processing Pacific Rim Symposium 1999, pp.322-327 (1999).\uff08\u67fb\u8aad\u4ed8\uff09<\/li>\n<li>Connectionist models for parsing and generating Japanese complex sentences\uff0cMinoru Motoki, Yoshio Shimazu,Proceedings of the 2nd International Conference on Cognitive Science and The 16th Annual Meeting of the Japanese Cognitive Science Society Joint Conference,P3-07\uff0cpp.982-985, (1999).<\/li>\n<li>A subsymbolic approach for acquiring semantic represenattions, Naoto Takahashi, Minoru, Motoki,Proceeding of Third International Workshop on Computational Semantics, (1999).<\/li>\n<li>\u30b3\u30cd\u30af\u30b7\u30e7\u30cb\u30b9\u30c8\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u65e5\u672c\u8a9e\u8907\u6587\u89e3\u6790\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9\uff0c\u672c\u6728\u5b9f\uff0c\u5d8b\u6d25\u597d\u751f\uff0c\u4e5d\u5dde\u7523\u696d\u5927\u5b66\u5de5\u5b66\u90e8\u7814\u7a76\u5831\u544a\u7b2c36\u53f7\uff0cpp.103-110\u00a0 (1999).<\/li>\n<li>\u7d71\u5408\u30b3\u30cd\u30af\u30b7\u30e7\u30cb\u30b9\u30c8\u30e2\u30c7\u30eb\u306b\u3088\u308b\u65e5\u672c\u8a9e\u8907\u6587\u30d1\u30fc\u30b5\uff0c\u672c\u6728\u5b9f\uff0c\u5d8b\u6d25\u597d\u751f\uff0c\u7b2c52\u56de\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u4e5d\u5dde\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cp.689 (1999).<\/li>\n<li>Connectionist Parser for Japanese Simple Sentences, Minoru Motoki, Kei Watanabe, Yoshio Shimazu, 5th International Conference on Softcomputing and Information\/Intelligent Systems (IIZUKA&#8217;98) Vol.2, pp.598-601 (1998).<\/li>\n<li>Connectionist Parser for Japanese Sentences with Embedded Clauses,Minoru Motoki, Yoshio Shimazu,5th International Conference on Neural Information Processing (ICONIP&#8217;98) Vol.2, pp.1138-1140 (1998).<\/li>\n<li>\u30b3\u30cd\u30af\u30b7\u30e7\u30cb\u30b9\u30c8\u65e5\u672c\u8a9e\u6587\u89e3\u6790\u30e2\u30b8\u30e5\u30fc\u30eb\u306e\u69cb\u7bc9\uff0c\u672c\u6728\u5b9f\uff0c\u571f\u6301\u52dd\u5f66\uff0c\u5d8b\u6d25\u597d\u751f\uff0c\u4e5d\u5dde\u7523\u696d\u5927\u5b66\u5de5\u5b66\u90e8\u7814\u7a76\u5831\u544a\u7b2c35\u53f7\uff0cpp.69-76\u00a0 (1998).<\/li>\n<li>\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u4e0a\u80a2\u904b\u52d5\u6d88\u5931\u75c7\u306b\u5bfe\u3059\u308b\u81ea\u52d5\u8a3a\u65ad\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\uff0d\u810a\u9ac4\u5c0f\u8133\u5909\u6027\u75c7\u3078\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u2015,\u6751\u5c71\u4f38\u6a39\uff0c\u5965\u6751\u30c1\u30ab\u5b50\uff0c\u4e2d\u897f\u4eae\u4e8c\uff0c\u672c\u6728\u5b9f\uff0c\u5c0f\u6797\u9054\u4e5f\uff0c\u300e\u8133\u6ce2\u3068\u7b4b\u96fb\u56f3\u300f\u7b2c25\u5dfb\uff0c\u7b2c3\u53f7\uff0cpp.276-285 (1997\uff09\uff0e\uff08\u67fb\u8aad\u4ed8\uff09<\/li>\n<li>\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u4e0a\u80a2\u904b\u52d5\u6a5f\u80fd\u969c\u5bb3\u306b\u5bfe\u3059\u308b\u8a3a\u65ad\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\uff0c\u672c\u6728\u5b9f\uff0c\u6c38\u5c3e\u670b\u6d0b\uff0c\u6751\u5c71\u4f38\u6a39\uff0c\u5965\u6751\u30c1\u30ab\u30b3\uff0c\u4fe1\u5b66\u6280\u5831\uff0cMBE93-07,pp.31-38 (1994)<\/li>\n<\/ul>\n<h2>2. \u6559\u80b2 \uff08Education\uff09<\/h2>\n<ul>\n<li>\u5352\u696d\u7814\u7a76\u3067\u306e\u4fe1\u983c\u6027\u5411\u4e0a\u306e\u6559\u80b2\u306b\u95a2\u3059\u308b\u7523\u5b66\u9023\u643a\u306e\u5b9f\u8df5\u4f8b?\u7814\u7a76\u7528\u30d7\u30ed\u30b0\u30e9\u30e0\u30b3\u30fc\u30c9\u306e\u691c\u8a3c\u56f0\u96e3\u3055\u306b\u5bfe\u3059\u308b\u8a66\u307f\uff0c\u672c\u6728 \u5b9f\uff0c\u65b0\u8c37\u6d0b\u4eba\uff0c\u5bfa\u7530\u664b\u4e5f\uff0c\u585a\u672c\u6643\u53f2\uff0c\u7b2c64\u56de\u5e74\u6b21\u5927\u4f1a\u5de5\u5b66\u6559\u80b2\u7814\u7a76\u8b1b\u6f14\u4f1a\uff0cP-17\uff082016\uff09\uff0e<\/li>\n<li>\u6559\u79d1\u9593\u9023\u643a\u306b\u3088\u308b\u300c\u30ad\u30e3\u30ea\u30a2\u6559\u80b2\u300d,\u8349\u91ce\u7f8e\u667a\u5b50,\u672c\u6728\u5b9f,\u9ad8\u5c02\u6559\u80b2 No.37,pp.453-458 (2014).\uff08\u67fb\u8aad\u4ed8\uff09<\/li>\n<li>\u96c6\u7a4d\u56de\u8def\u8a2d\u8a08\u958b\u767a\u5206\u91ce\u306b\u304a\u3051\u308b\u65e9\u671f\u4eba\u8ca1\u80b2\u6210\u3092\u76ee\u6307\u3057\u305f\u5171\u540c\u6559\u80b2\u3078\u306e\u53d6\u308a\u7d44\u307f,\u6b66\u5bcc\u5e83\u6210\uff0c\u672c\u6728\u5b9f\uff0c\u677e\u5c3e\u548c\u5178\uff0c\u5927\u5c71\u82f1\u5178\uff0c\u9ed2\u5ddd\u61b2\u5b8f\uff0c\u5c71\u672c\u535a\u5eb7,\u7b2c1\u56de\u534a\u5c0e\u4f53\u6750\u6599\u30fb\u30c7\u30d0\u30a4\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0\u4e88\u7a3f\u96c6,pp.46-47 (2010).<\/li>\n<li>HDL\u304a\u3088\u3073ASIC\u8a2d\u8a08\u958b\u767a\u74b0\u5883\u306e\u6574\u5099\u3068\u305d\u308c\u3092\u901a\u3057\u305f\u5354\u540c\u6559\u80b2,\u672c\u6728 \u5b9f\uff0c\u677e\u5c3e\u548c\u5178, \u5927\u5c71\u82f1\u5178,\u9ed2\u5ddd\u61b2\u5b8f\uff0c\u5c71\u672c\u535a\u5eb7, \u9ad8\u5c02\u6559\u80b2No.32\uff0cpp.399-404 (2009). \uff08\u67fb\u8aad\u4ed8)<\/li>\n<li>\u4e5d\u5dde\u6c96\u7e04\u5730\u533a\u9ad8\u5c02\u4f53\u80b2\u5927\u4f1a\u30d0\u30c9\u30df\u30f3\u30c8\u30f3\u7af6\u6280\u904b\u55b6\u652f\u63f4\u30c4\u30fc\u30eb\u306e\u4f5c\u88fd\uff0dEXCEL\u30b7\u30fc\u30c8\u4f5c\u88fd\u3068\u7121\u7ddaLAN\u306e\u5229\u7528\uff0d,\u672c\u6728\u5b9f\uff0c\u77f3\u539f\u79c0\u6a39\uff0c\u53e4\u6c5f\u7814\u4e5f\uff0c\u91ce\u3005\u53e3\u82f1\u4e8c,\u718a\u672c\u9ad8\u7b49\u5c02\u9580\u5b66\u6821\u7814\u7a76\u7d00\u8981\u7b2c1\u53f7\uff0cpp.17-24 (2009).<\/li>\n<li>\u5171\u540c\u7814\u7a76\u306b\u57fa\u3065\u3044\u305f\u30a4\u30f3\u30bf\u30fc\u30f3\u30b7\u30c3\u30d7-COOP\u6559\u80b2\u306e\uff11\u3064\u306e\u5b9f\u8df5\u4f8b-, \u672c\u6728\u5b9f\uff0c\u677e\u5c3e\u548c\u5178\uff0c\u5927\u5c71\u82f1\u5178\uff0c\u9ed2\u5ddd\u61b2\u5b8f\uff0c\u5c71\u672c\u535a\u5eb7, \u7b2c22\u56de\u718a\u672c\u770c\u7523\u5b66\u5b98\u6280\u8853\u4ea4\u6d41\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6\uff0cpp.224-225 (2008).<\/li>\n<li>\u5b66\u79d1\u5c02\u7528\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306e\u904b\u7528\u3068\u305d\u306e\u52b9\u679c\uff0c\u85e4\u7530\u6bc5\uff0c\u7267\u5143\u7f8e\u548c\u5b50\uff0c\u672c\u6728\u5b9f\uff0c\u7b2c13\u56de\u79c1\u60c5\u5354\u5927\u4f1a\u8cc7\u6599\uff0cpp.148-149 (1999)\uff0e<\/li>\n<\/ul>\n<h2>3. \u5171\u540c\u7814\u7a76\u7b49\uff08Collaboration\uff09<\/h2>\n<ul>\n<li>\u8133\u578b\u60c5\u5831\u51e6\u7406\u534a\u5c0e\u4f53\u56de\u8def\u306e\u7814\u7a76\u3068\u8a66\u4f5c\uff0c\u30e1\u30a4\u30d3\u30b9\u30c7\u30b6\u30a4\u30f3\u682a\u5f0f\u4f1a\u793e\uff0c\u5e73\u621029\uff5e\u73fe\u5728\u307e\u3067\uff0e<\/li>\n<li>\u975e\u63a5\u89e6\u578b\u6e2c\u5b9a\u88c5\u7f6e\u3092\u7528\u3044\u305f\u56a5\u4e0b\u6a5f\u80fd\u8a55\u4fa1\u6cd5\u306e\u7814\u7a76\uff0c\u718a\u672c\u4fdd\u5065\u79d1\u5b66\u5927\u5b66\u5e73\u621026\u5e74\u5ea6\u6559\u80b2\u7814\u7a76\u30d7\u30ed\u30b0\u30e9\u30e0\u30fb\u62e0\u70b9\u7814\u7a76\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff0c\u5e73\u621026\u5e74\u5ea6\uff0e<\/li>\n<li>\u6c4e\u7528\u96c6\u7a4d\u56de\u8def\u306e\u958b\u767a\u3068\u8a55\u4fa1\uff0c\u30c6\u30af\u30ce\u30c7\u30b6\u30a4\u30f3\u682a\u5f0f\u4f1a\u793e\uff0c\u5e73\u621018\uff5e24\u5e74\u5ea6\uff0e<\/li>\n<\/ul>\n<h2>4. \u305d\u306e\u4ed6\uff08others\uff09<\/h2>\n<ul>\n<li>\u56a5\u4e0b\u904b\u52d5\u8a55\u4fa1\u6cd5\u306e\u958b\u767a\uff0c\u91ce\u53e3\u8061\u771e\uff0c\u7912\u6c5f\u516c\u4eba\uff0c\u5b89\u90e8\u611b\u671b\uff0c\u4e45\u4fdd\u9ad8\u660e\uff0c\u5927\u585a\u88d5\u4e00\uff0c\u5bae\u672c\u6075\u7f8e\uff0c\u8239\u8d8a\u548c\u7f8e\uff0c\u672c\u6728\u5b9f\uff0c\u53e4\u9591\u516c\u6cbb\uff0c\u718a\u672c\u4fdd\u5065\u79d1\u5b66\u5927\u5b66\u81e8\u5e8a\u691c\u67fb\u5b66\u79d1\u5352\u696d\u8ad6\u6587,14-OP07 (2014). \uff08\u512a\u79c0\u767a\u8868\u8cde\u53d7\u8cde\uff09<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>1. \u7814\u7a76\uff08Research\uff09 \u591a\u5c64SAM\u30b9\u30d1\u30a4\u30ad\u30f3\u30b0\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u306b\u3088\u308bActor-Critic\u30e2\u30c7\u30eb, \u672c\u6728 \u5b9f,\u00a0 \u5ee3\u5ca1, \u5e73\u592a\u90ce, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a, NC2024-87,(2 &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.te.kumamoto-nct.ac.jp\/lab\/motoki-lab\/wordpress\/publication\/\" class=\"more-link\"><span class=\"screen-reader-text\">&#8220;Publication&#8221; \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/www.te.kumamoto-nct.ac.jp\/lab\/motoki-lab\/wordpress\/wp-json\/wp\/v2\/pages\/51"}],"collection":[{"href":"https:\/\/www.te.kumamoto-nct.ac.jp\/lab\/motoki-lab\/wordpress\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.te.kumamoto-nct.ac.jp\/lab\/motoki-lab\/wordpress\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.te.kumamoto-nct.ac.jp\/lab\/motoki-lab\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.te.kumamoto-nct.ac.jp\/lab\/motoki-lab\/wordpress\/wp-json\/wp\/v2\/comments?post=51"}],"version-history":[{"count":36,"href":"https:\/\/www.te.kumamoto-nct.ac.jp\/lab\/motoki-lab\/wordpress\/wp-json\/wp\/v2\/pages\/51\/revisions"}],"predecessor-version":[{"id":388,"href":"https:\/\/www.te.kumamoto-nct.ac.jp\/lab\/motoki-lab\/wordpress\/wp-json\/wp\/v2\/pages\/51\/revisions\/388"}],"wp:attachment":[{"href":"https:\/\/www.te.kumamoto-nct.ac.jp\/lab\/motoki-lab\/wordpress\/wp-json\/wp\/v2\/media?parent=51"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}