Presentation | 1997/3/17 The Leaning Ability of DBM with Quantized Synapses Souichi Shibata, Shigeo Sato, Koji Nakajima, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we report a study on learning ability of DBM with quantized synapses in view of using analog memories for neurochips. We focused on XOR problem with a 2-2-1 DBM. Numerical simulations was done with a proper annealing schedule which was same as in case of using continuos synapses. Results show that the learning ability depends on how its synaptic weight is quantized and 10~11bit resolution of a quantized synaptic weight is required for successful learning. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | analog memory / neurochip / DBM / quantized synapse |
Paper # | NC96-131 |
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Committee | NC |
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Conference Date | 1997/3/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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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 Leaning Ability of DBM with Quantized Synapses |
Sub Title (in English) | |
Keyword(1) | analog memory |
Keyword(2) | neurochip |
Keyword(3) | DBM |
Keyword(4) | quantized synapse |
1st Author's Name | Souichi Shibata |
1st Author's Affiliation | Research Institute of Electrical Communication, Tohoku Univ.() |
2nd Author's Name | Shigeo Sato |
2nd Author's Affiliation | Research Institute of Electrical Communication, Tohoku Univ. |
3rd Author's Name | Koji Nakajima |
3rd Author's Affiliation | Research Institute of Electrical Communication, Tohoku Univ. |
Date | 1997/3/17 |
Paper # | NC96-131 |
Volume (vol) | vol.96 |
Number (no) | 583 |
Page | pp.pp.- |
#Pages | 6 |
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