Presentation | 2013-12-21 Dynamic Binary Neural Networks for Deep learning based on correlation Jungo MORIYASU, Toshimichi SAITO, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper studies basic dynamics and learning capability of the multi-layer dynamic binary neural network. The network has the signum activation function and can exhibit various binary periodic orbits. The network dynamics can be visualized by the Gray-code-based return map. We present a deep learning algorithm based on the correlation learning. The purpose of the learning is not only storage of teacher signal but also enlargement of the domain of attraction to the teacher signal. As a typical example of the teacher signal, we use a periodic orbit corresponding to the control signal of the matrix converters. Performing basic numerical experiment, we have confirmed that the teacher signal can be stored successfully and the deep structure can be effective to enlarge the domain of attraction. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Neural Network / Correlation learning / Genetic Algorithm / Return Map / Deep learning |
Paper # | NC2013-62 |
Date of Issue |
Conference Information | |
Committee | NC |
---|---|
Conference Date | 2013/12/14(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
Registration To | Neurocomputing (NC) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Dynamic Binary Neural Networks for Deep learning based on correlation |
Sub Title (in English) | |
Keyword(1) | Neural Network |
Keyword(2) | Correlation learning |
Keyword(3) | Genetic Algorithm |
Keyword(4) | Return Map |
Keyword(5) | Deep learning |
1st Author's Name | Jungo MORIYASU |
1st Author's Affiliation | EE Dept., Hosei University() |
2nd Author's Name | Toshimichi SAITO |
2nd Author's Affiliation | EE Dept., Hosei University |
Date | 2013-12-21 |
Paper # | NC2013-62 |
Volume (vol) | vol.113 |
Number (no) | 374 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |