| Presentation | 2006-03-20 A Study on Problem Dependency of GA-based Learning to Binary Neural Networks Tatsuya HIRANE, Hidehiro NAKANO, Arata MIYAUCHI, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we analyze learning characteristics of a GA-based learning algorithm to Binary Neural Networks (BNNs), from the view points of problem dependency. We compare the learning performances applying this algorithm to various problems of which kind and size are different. We show some numerical results, and consider an implementation method of this algorithm which is problem independency. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Binary Neural Network / GA / ETL / Learning / Problem Dependency |
| Paper # | NLP2005-144 |
| Date of Issue |
| Conference Information | |
| Committee | NLP |
|---|---|
| Conference Date | 2006/3/13(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 | Nonlinear Problems (NLP) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Problem Dependency of GA-based Learning to Binary Neural Networks |
| Sub Title (in English) | |
| Keyword(1) | Binary Neural Network |
| Keyword(2) | GA |
| Keyword(3) | ETL |
| Keyword(4) | Learning |
| Keyword(5) | Problem Dependency |
| 1st Author's Name | Tatsuya HIRANE |
| 1st Author's Affiliation | Musashi Institute of Technology() |
| 2nd Author's Name | Hidehiro NAKANO |
| 2nd Author's Affiliation | Musashi Institute of Technology |
| 3rd Author's Name | Arata MIYAUCHI |
| 3rd Author's Affiliation | Musashi Institute of Technology |
| Date | 2006-03-20 |
| Paper # | NLP2005-144 |
| Volume (vol) | vol.105 |
| Number (no) | 675 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |