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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC 2008-11-07
16:50		 Saga Saga Univ. An Application of the Virtual Learning system to Biped Walking Robots
Yuta Shiga, Hirokazu Yokoi (KIT) NC2008-64		 It is impossible that present robot deals with various environments and situations by one program. And, the program can’... [more] NC2008-64
pp.31-35
NC 2008-05-23
14:40		 Ishikawa Kanazawa Univ Experimental Study for Dominance to Accuracy of Prediction Output of Parallel-type Neuron Network
Shunsuke Kobayakawa, Hirokazu Yokoi (KITGS) NC2008-6		 The parallel-type neuron network (PNN) is researched to improve on the decrease in the ability on the neuron network by ... [more] NC2008-6
pp.29-34
SANE 2008-01-25
11:40		 Nagasaki Nagasaki Prefectural Art Museum Evaluation of Learning Capabilities of BP Networks to Number of Input Signals
Shunsuke Kobayakawa, Hirokazu Yokoi (KITGS) SANE2007-116		 In general, BP network which learn a time series signal using one teacher signal and one input signal is that two teache... [more] SANE2007-116
pp.83-86
SANE 2007-01-19
13:40		 Nagasaki Nagasaki Prefectural Art Museum Application to Prediction Problem of Parallelized Neuron Networks in the Aircraft
Shunsuke Kobayakawa, Hirokazu Yokoi (KIT Graduate School) SANE2006-126		 The hierarchical back-propagation networks over two outputs has total calculations using calculation results which are g... [more] SANE2006-126
pp.43-45
NC 2006-11-10
14:25		 Saga Saga University Virtual Lerning System for a Bipedal Robot.
Hiromasa Onishi, Hirokazu Yokoi (KIT) 		 [more] NC2006-57
pp.7-11
MBE 2005-01-29
13:25		 Fukuoka Kyushu Inst. of Tech. A Neural Control for Multi-fingered Myoelectric Hand to Learn and Generate Components of Motion
Satoru Suematsu, Hirokazu Yokoi (Kyushu Inst. of Tech.) 		In the conventional research about myoelectric hand, scholar make a neural network to learn a chain of the motion. But, ... [more] MBE2004-83
pp.41-44
MBE 2005-01-29
14:50		 Fukuoka Kyushu Inst. of Tech. A method of removing blink artifacts from EEG signals using Neural Networks with Volterra filters
Shusaku Shigemura, Toshihiro Nishimura (Waseda Univ.), Hirokazu Yokoi (Kyushu Institute of Technology) 		It is much important to grasp the features of the electroencephalogram (EEG) in clinical diagnosis. However, EEG signals... [more] MBE2004-87
pp.57-60
 Results 1 - 7 of 7  /   
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