Presentation | 2003/3/11 Studies on Effects of Initialization for the Rule Extraction on Structural Learning with Forgetting Tomokazu MIYAGI, Hiroshi SHIRATSUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This report studies how our proposed initialization effects the rule extraction of neural networks by structural learning with forgetting. This proposed initialization consists of two steps: weights of hidden units are initialized so that their hyperplanes should pass through the center of input pattern set, and those of output units are initialized to zero. From simulation result on descovery of boolean function problem which has 5 and 7 inputs, it was confirmed that proposed initialization gives more simple network structure and higher rule extraction ability from improving the convergence rate towards the optimal structure. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Initialization / structural learning with forgetting / rule extraction / optimal structure |
Paper # | NC2002-185 |
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Committee | NC |
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Conference Date | 2003/3/11(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) | Studies on Effects of Initialization for the Rule Extraction on Structural Learning with Forgetting |
Sub Title (in English) | |
Keyword(1) | Initialization |
Keyword(2) | structural learning with forgetting |
Keyword(3) | rule extraction |
Keyword(4) | optimal structure |
1st Author's Name | Tomokazu MIYAGI |
1st Author's Affiliation | Graduate School of Engineering and Science, University of the Ryukyus() |
2nd Author's Name | Hiroshi SHIRATSUCHI |
2nd Author's Affiliation | Department of Information Engineering, University of the Ryukyus |
Date | 2003/3/11 |
Paper # | NC2002-185 |
Volume (vol) | vol.102 |
Number (no) | 730 |
Page | pp.pp.- |
#Pages | 6 |
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