Presentation 2011-07-26
A Pulsed Neuron Model for Hardware Implementation without Multiplier
Yusuke HOSOI, Kazunori MATUO, Norihiro KUROKAWA, Hiroyasu YAMAMOTO, Minoru MOTOKI,
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Abstract(in English) The neural network has a problem about response time. Therefore it is necessary to become hardware. Iwata, et al proposed a pulsed neuron model for hardware and succeeded in decreasing circuit scale without using multiplier in execution process. However, a multiplier is used in learning process and some circuit scale was required. We propose a learning rule of the pulsed neuronal model without multiplier in learning process for hardware. And we report that performance of the proposed method by computer simulation.
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Keyword(in English) Neural Network / Hardware Implementation / Pulsed Neuron / Learning Rule / Pattern Recognition
Paper # NC2011-36
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Committee NC
Conference Date 2011/7/18(1days)
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Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Pulsed Neuron Model for Hardware Implementation without Multiplier
Sub Title (in English)
Keyword(1) Neural Network
Keyword(2) Hardware Implementation
Keyword(3) Pulsed Neuron
Keyword(4) Learning Rule
Keyword(5) Pattern Recognition
1st Author's Name Yusuke HOSOI
1st Author's Affiliation Kumamo to National College of Technology()
2nd Author's Name Kazunori MATUO
2nd Author's Affiliation Kumamo to National College of Technology
3rd Author's Name Norihiro KUROKAWA
3rd Author's Affiliation TECHNO DESIGN
4th Author's Name Hiroyasu YAMAMOTO
4th Author's Affiliation TECHNO DESIGN
5th Author's Name Minoru MOTOKI
5th Author's Affiliation Kumamo to National College of Technology
Date 2011-07-26
Paper # NC2011-36
Volume (vol) vol.111
Number (no) 157
Page pp.pp.-
#Pages 6
Date of Issue