Presentation | 1993/11/24 Speedup of back propagation algorithm employing threshold logic transform networks Masahiko Tateishi, Shin'ichi Tamura, Shigeyuki Akita, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A back propagation network model employing Threshold Logic Transform(TLT)for faster training is proposed.TLT,a simple mathematical transformation,is inserted between the input layer and the hidden layer to speed up extraction of complex features of input.When comparing the conventional method versus adding TLT the study of three classification tasks revealed that with TLT the number of iteration steps reduces to 1, 5 - 1/20.The rate of convergence is also much greater.The conventional method is 33.3%, whereas,with TLT it is 99.3%. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Neural networks / Threshold logic transform / Back propagation / Intut data transformation |
Paper # | NC93-49 |
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Committee | NC |
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Conference Date | 1993/11/24(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) | Speedup of back propagation algorithm employing threshold logic transform networks |
Sub Title (in English) | |
Keyword(1) | Neural networks |
Keyword(2) | Threshold logic transform |
Keyword(3) | Back propagation |
Keyword(4) | Intut data transformation |
1st Author's Name | Masahiko Tateishi |
1st Author's Affiliation | Research laboratories,Nippondenso() |
2nd Author's Name | Shin'ichi Tamura |
2nd Author's Affiliation | Research laboratories,Nippondenso |
3rd Author's Name | Shigeyuki Akita |
3rd Author's Affiliation | Research laboratories,Nippondenso |
Date | 1993/11/24 |
Paper # | NC93-49 |
Volume (vol) | vol.93 |
Number (no) | 341 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |