Presentation | 1998/7/27 Discovery of Rules and Improvement of Generalization Power using SFNN and Destructive Structural Learning Algorithm Shinichi Kikuchi, Masakazu Nakanishi, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we got a hint from Ishikawa's stuctural learning algorithm with frgetting to aim at discovery of rules and improvement of generalization power. A new point in order to discovery rules is to apply a new destructive structural learning algorithm to feed-forward neural networks based on layered structure(SFNN, Special Feed-forward Neural Networks). SFNN is a wider concept than a conventional multilayered stucture. Using this system, not only gazing spheres really appear on its structure but also stronger structures are attained in terms of its generalization power. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neural networks / SFNN / structural learning / discovery of rules / generalization power |
Paper # | NC98-34 |
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Committee | NC |
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Conference Date | 1998/7/27(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Discovery of Rules and Improvement of Generalization Power using SFNN and Destructive Structural Learning Algorithm |
Sub Title (in English) | |
Keyword(1) | neural networks |
Keyword(2) | SFNN |
Keyword(3) | structural learning |
Keyword(4) | discovery of rules |
Keyword(5) | generalization power |
1st Author's Name | Shinichi Kikuchi |
1st Author's Affiliation | Department of Science and Technology Graduate School of Keio University() |
2nd Author's Name | Masakazu Nakanishi |
2nd Author's Affiliation | Department of Science and Technology Graduate School of Keio University |
Date | 1998/7/27 |
Paper # | NC98-34 |
Volume (vol) | vol.98 |
Number (no) | 219 |
Page | pp.pp.- |
#Pages | 8 |
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