Presentation | 1996/5/24 The Relation between the Precision of the Weights and the Output Error in Multi-Layer Neural Networks Kazushi IKEDA, Akihiro SUZUKI, Kenji NAKAYAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In case of implementation of neural networks, it is important to decreace the number of bits of the weights in the neuron to the sake of reduction of the size of circuits. In this paper, we have analyzed how much the output error increases when the weights have less precision in the case of both of the fixed point expression and the floating point expression in the computer. The results have been supported by computer simulations. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Neural Network / Low-Precision / Quantization |
Paper # | NC96-1 |
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Committee | NC |
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Conference Date | 1996/5/24(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 | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | The Relation between the Precision of the Weights and the Output Error in Multi-Layer Neural Networks |
Sub Title (in English) | |
Keyword(1) | Neural Network |
Keyword(2) | Low-Precision |
Keyword(3) | Quantization |
1st Author's Name | Kazushi IKEDA |
1st Author's Affiliation | Fac. Engineering, Kanazawa Univ.() |
2nd Author's Name | Akihiro SUZUKI |
2nd Author's Affiliation | Fac. Engineering, Kanazawa Univ. |
3rd Author's Name | Kenji NAKAYAMA |
3rd Author's Affiliation | Fac. Engineering, Kanazawa Univ. |
Date | 1996/5/24 |
Paper # | NC96-1 |
Volume (vol) | vol.96 |
Number (no) | 76 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |