| Presentation | 2009-03-13 Self-Organizing Incremental Neural Network and its Application for Pattern Based Artificial Intelligence Osamu Hasegawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | To create an intelligent system which works well in the real-world, we need to realize a pattern based intelligence called "Pattern Based AI (PB-AI)". PB-AI is supported by a self-organizing incremental neural network (SOINN) which is capable of on-line unsupervised classification and topology learning. In this paper, we introduce SOINN and its applications for many pattern-based problems. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Pattern based AI / Artificial Brain / Online Incremental Learning / SOINN |
| Paper # | PRMU2008-249 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2009/3/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Self-Organizing Incremental Neural Network and its Application for Pattern Based Artificial Intelligence |
| Sub Title (in English) | |
| Keyword(1) | Pattern based AI |
| Keyword(2) | Artificial Brain |
| Keyword(3) | Online Incremental Learning |
| Keyword(4) | SOINN |
| 1st Author's Name | Osamu Hasegawa |
| 1st Author's Affiliation | Imaging Science and Engineering Lab., Tokyo Institute of Technology() |
| Date | 2009-03-13 |
| Paper # | PRMU2008-249 |
| Volume (vol) | vol.108 |
| Number (no) | 484 |
| Page | pp.pp.- |
| #Pages | 10 |
| Date of Issue | |