| Presentation | 1997/3/17 Graphic representations of neural network structure Tetsuya Hirayasu, Masumi Ishikawa, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | There is no good method of automatically drawing structure of recurrent networks. When the size of a network increases, it will become laborious to draw a network structure by hand. The present reseach aims at automatically drawing understandable network structure including connection weights. For this purpose, we have developed a software which automatically arranges units in an understandable way by using genetic algorithm, quantification theory 4, and force-directed placement. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | automatic graph drawing method / neural network / genetic algorithm / force-directed placement |
| Paper # | NC96-120 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1997/3/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Vice Chair | |
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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) | Graphic representations of neural network structure |
| Sub Title (in English) | |
| Keyword(1) | automatic graph drawing method |
| Keyword(2) | neural network |
| Keyword(3) | genetic algorithm |
| Keyword(4) | force-directed placement |
| 1st Author's Name | Tetsuya Hirayasu |
| 1st Author's Affiliation | Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology() |
| 2nd Author's Name | Masumi Ishikawa |
| 2nd Author's Affiliation | Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology |
| Date | 1997/3/17 |
| Paper # | NC96-120 |
| Volume (vol) | vol.96 |
| Number (no) | 583 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |