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 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2017-06-23
16:25
Okinawa Okinawa Institute of Science and Technology Analysis of Sequential Learning Capability of Selective Desensitization Neural Network
Tomoki Ichiba, Tomohiro Tanno, Kazumasa Horie, Jun Izawa, Syoichi Someno, Masahiko Morita (Tsukuba Univ.) NC2017-9
A conventional neural network with high generalization ability is known to entirely forget the previously learned inform... [more] NC2017-9
pp.27-32
NC, IPSJ-BIO 2013-06-28
15:10
Okinawa Okinawa Institute of Science and Technology Effect of Pattern Coding on Pattern Classification Neural Networks
Tomohiro Tanno, Kazumasa Horie, Takaaki Kobayashi, Masahiko Morita (Univ. of Tsukuba) NC2013-13
Recent studies reported that the performance of layered neural networks to approximate multivariable functions improves ... [more] NC2013-13
pp.139-143
NC, IPSJ-BIO 2012-06-28
10:10
Okinawa OIST, Okinawa Multi-Class EMG Pattern Classfication using a Selective Desensitization Neural Network with a Half-vs-Half Method
Kazumasa Horie (Univ. of Tsukuba), Atsuo Suemitsu (JAIST), Masahiko Morita (Univ. of Tsukuba) NC2012-3
The real-time classi cation of human movements by using surface electromyogram (EMG) signals is an important research is... [more] NC2012-3
pp.13-18
MBE, NC
(Joint)
2012-03-14
16:25
Tokyo Tamagawa University Estimation of forearm motion and speed from surface EMG signals using a selective desensitization neural network
Ryotaro Hayashi, Atsuo Suemitsu (JAIST) NC2011-141
In order to operate a myoelectric arm like a healthy arm, not only the forearm motion but also its speed need to be esti... [more] NC2011-141
pp.117-122
NC, IPSJ-BIO [detail] 2011-06-24
14:40
Okinawa 50th Anniversary Memorial Hall, University of the Ryukyus Q-learning in Continuous Action-State Space by Using a Selective Desensitization Neural Network
Takaaki Kobayashi, Takeshi Shibuya, Fumihide Tanaka, Masahiko Morita (Tsukuba Univ) NC2011-15
Value function approximation takes an important role for reinforcement learning in continuous state-action space. Conven... [more] NC2011-15
pp.119-123
NC, NLP, IPSJ-BIO [detail] 2010-06-18
15:35
Okinawa Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan Discrimination of Hand Motion from Surface EMG Signals Using a Selective Desensitization Neural Network
Hiroshi Kawata (Univ. of Tsukuba), Atsuo Suemitsu (JAIST), Masahiko Morita (Univ. of Tsukuba) NLP2010-6 NC2010-6
Real-time discrimination of hand motion from surface EMG signals is useful for developing surface EMG prosthetic arms, i... [more] NLP2010-6 NC2010-6
pp.37-44
NC 2009-01-19
10:55
Hokkaido Hokkaido Univ. Reinforcement Learning Using Selective Desensitization Neural Networks in the State Space with Redundant dimensions
Tomoyuki Shimbo, Ken Yamane, Masahiko Morita (Univ. of Tsukuba) NC2008-83
Reinforcement learning has a problem that it requires a long time particularly when the state space is high dimensional ... [more] NC2008-83
pp.7-12
NC, MBE
(Joint)
2008-03-13
15:20
Tokyo Tamagawa Univ Efficiency improvement of reinforce learning using a selective desensitization neural network
Masahiko Morita, Tomoyuki Shimbo, Takashi Hasuo, Ken Yamane (Univ. of Tsukuba) NC2007-172
Existing reinforcement learning (RL) systems have a serious problem that they require an extremely long time for learnin... [more] NC2007-172
pp.355-359
NC 2007-03-15
15:50
Tokyo Tamagawa University Modeling the activity of the hippocampal neurons based on the theory of selective desensitization
Yasuhiro Miyazawa (Univ. of Tsukuba), Atsuo Suemitsu (Shimane Univ.), Masahiko Morita (Univ. of Tsukuba)
Integrating different kinds of information is thought to be a key function of the hippocampus.
Based on a computational... [more]
NC2006-184
pp.183-188
 Results 1 - 9 of 9  /   
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