Presentation 2005/3/21
競合学習パルスニューラルネットワークの勝者決定手法における勝者ニューロンの入力追従性に関する検討
Kaname IWASA, Susumu KUROYANAGI, Akira IWATA,
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Abstract(in English) We proposed the control method to achieve competition learning SOM network by using pulsed neuron model. This method controls each threshold of al SOM neurons uniformly. We have constructed the sound-localization model using this SOM network, and the operation verification have done. However, the algorithm was only tested with fixed parameters for any input patterns. In this paper, we examine behavior of the thresholds controlling with various inputs, and propose an adaptive control method of the thresholds.
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Keyword(in English) Pulsed Neuron Model / Self Organizing Map / Competition Learning / adaptive control
Paper # NC2004-166
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Committee NC
Conference Date 2005/3/21(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English)
Sub Title (in English)
Keyword(1) Pulsed Neuron Model
Keyword(2) Self Organizing Map
Keyword(3) Competition Learning
Keyword(4) adaptive control
1st Author's Name Kaname IWASA
1st Author's Affiliation Department of Computer Science and Engineering Graduate School of Engineering Nagoya Institute of Technology()
2nd Author's Name Susumu KUROYANAGI
2nd Author's Affiliation Department of Computer Science and Engineering Graduate School of Engineering Nagoya Institute of Technology
3rd Author's Name Akira IWATA
3rd Author's Affiliation Department of Computer Science and Engineering Graduate School of Engineering Nagoya Institute of Technology
Date 2005/3/21
Paper # NC2004-166
Volume (vol) vol.104
Number (no) 758
Page pp.pp.-
#Pages 6
Date of Issue