| Presentation | 2014-12-13 Consideration of Dynamic Binary Neural Networks based on the Feature Quantity Plane Ryuji SATO, Jungo MORIYASU, Toshimichi SAITO, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper studies learning the 2-layer dynamic binary neural network that can generate various binary periodic orbit. The learning aims at storage of a desired periodic orbit (or fixed point) and stabilization of the stored periodic orbits. For the storage, we apply a simple correlation-based learning algorithm. For the stabilization, we sparsify the network connection. In order to evaluate the network behavior, we introduce feature quantities of steady states (periodic orbits) and transient states (eventually periodic points). On the plane of the two feature quantities, the network dynamics can be visualized. Performing basic numerical experiments, we investigate the effectiveness of learning algorithm and feature quantities plane. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Binary Neural Networks / Correlation Learning / Sparsification |
| Paper # | NC2014-51 |
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| Committee | NC |
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| Conference Date | 2014/12/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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) | Consideration of Dynamic Binary Neural Networks based on the Feature Quantity Plane |
| Sub Title (in English) | |
| Keyword(1) | Binary Neural Networks |
| Keyword(2) | Correlation Learning |
| Keyword(3) | Sparsification |
| 1st Author's Name | Ryuji SATO |
| 1st Author's Affiliation | EE Dept., Hosei University() |
| 2nd Author's Name | Jungo MORIYASU |
| 2nd Author's Affiliation | EE Dept., Hosei University |
| 3rd Author's Name | Toshimichi SAITO |
| 3rd Author's Affiliation | EE Dept., Hosei University |
| Date | 2014-12-13 |
| Paper # | NC2014-51 |
| Volume (vol) | vol.114 |
| Number (no) | 362 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |