Presentation 2000/12/14
Analog IC Design, Implementation and Measurements of Neural Networks
Yoshina TODO, Tsutomu TAKASAKI, Masahiro YOSHIDA, Teru YONEYAMA, Hideki ASAI,
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Abstract(in English) In this report, we describe the design and results obtained from the measurements of neuro-chips, working in analog domain, which has the multi-layer feedforward network structure. Furthermore, we propose the back-propagation system with neuro-chips, which uses the output of neuro-chips. As a result, we can get the most suitable synaptic weights. As an example, 4-2-4 three-layer neural network which is composed of 422 MOS transistors is designed, tested and measured.
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Keyword(in English) Analog LSI / Multi-Layered Neural Network / Back-Propagation / Design and Measurement
Paper # NLP2000-117
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Conference Information
Committee NLP
Conference Date 2000/12/14(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analog IC Design, Implementation and Measurements of Neural Networks
Sub Title (in English)
Keyword(1) Analog LSI
Keyword(2) Multi-Layered Neural Network
Keyword(3) Back-Propagation
Keyword(4) Design and Measurement
1st Author's Name Yoshina TODO
1st Author's Affiliation SYSTEC Corporation()
2nd Author's Name Tsutomu TAKASAKI
2nd Author's Affiliation SYSTEC Corporation
3rd Author's Name Masahiro YOSHIDA
3rd Author's Affiliation Department of Systems Engineering, Faculty of Engineering, Shizuoka University
4th Author's Name Teru YONEYAMA
4th Author's Affiliation Department of Systems Engineering, Faculty of Engineering, Shizuoka University
5th Author's Name Hideki ASAI
5th Author's Affiliation Department of Systems Engineering, Faculty of Engineering, Shizuoka University
Date 2000/12/14
Paper # NLP2000-117
Volume (vol) vol.100
Number (no) 518
Page pp.pp.-
#Pages 6
Date of Issue