Presentation | 1993/9/17 A Study on High-precision Analog Neural Network VLSI Computers Takashi Morie, Yoshihito Amemiya, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper demonstrates usefulness of analog neuro-LSIs to construct general neural networks with analog dynamics.From a perspective of calculation resolution,analog LSI implementation is more suitable for high speed neuraj networks than digital LSI implementation.It is also demonstrated that noise in analog circuits less affects the learning performance than weight quantization in digital memories.It is described that serious effects of offset errors in analog circuits on the backpropagation(BP)learning performance can be lowered by using a new learning algorithm called contrastive BP learning,and a circuit architecture implementing the learning procedure is explained. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neural network / analog LSI / backpropagation learning / contrastive learning |
Paper # | ICD93-97,DSP93-58 |
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Conference Information | |
Committee | ICD |
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Conference Date | 1993/9/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Integrated Circuits and Devices (ICD) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study on High-precision Analog Neural Network VLSI Computers |
Sub Title (in English) | |
Keyword(1) | neural network |
Keyword(2) | analog LSI |
Keyword(3) | backpropagation learning |
Keyword(4) | contrastive learning |
1st Author's Name | Takashi Morie |
1st Author's Affiliation | NTT LSI Laboratories() |
2nd Author's Name | Yoshihito Amemiya |
2nd Author's Affiliation | Faculty of Engineering,Hokkaido University |
Date | 1993/9/17 |
Paper # | ICD93-97,DSP93-58 |
Volume (vol) | vol.93 |
Number (no) | 231 |
Page | pp.pp.- |
#Pages | 8 |
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