Presentation | 1994/3/25 Back propagation based on maximum information Tatsuya Uno, Seiichi Koakutsu, Hironori Hirata, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The complicated structure of neural networks organized by back propagation algorithm makes it difficult to interpret the meaning of learned structure.To overcome this defect,we define information which evaluates the degree of the organization of the network structure and propose a new version of back propagation based on maximum information in order to obtain a simple structure.Some computational experiments show that the proposed method is useful to understand the internal structure of learned problem. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neural networks / BP algorithm / structuralization / information / maximum information |
Paper # | NC93-113 |
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Committee | NC |
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Conference Date | 1994/3/25(1days) |
Place (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) | Back propagation based on maximum information |
Sub Title (in English) | |
Keyword(1) | neural networks |
Keyword(2) | BP algorithm |
Keyword(3) | structuralization |
Keyword(4) | information |
Keyword(5) | maximum information |
1st Author's Name | Tatsuya Uno |
1st Author's Affiliation | Department of Electrical and Electronics Engineering,Faculty of Engineering,Chiba University() |
2nd Author's Name | Seiichi Koakutsu |
2nd Author's Affiliation | Department of Electrical and Electronics Engineering,Faculty of Engineering,Chiba University |
3rd Author's Name | Hironori Hirata |
3rd Author's Affiliation | Department of Electrical and Electronics Engineering,Faculty of Engineering,Chiba University |
Date | 1994/3/25 |
Paper # | NC93-113 |
Volume (vol) | vol.93 |
Number (no) | 537 |
Page | pp.pp.- |
#Pages | 8 |
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