Presentation | 2000/11/2 A proposed learning method for pattern recognition with higher order neural networks Shuji Yatsuki, Masaya Fujii, Hiromi Miyajima, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | It is known that higher order neural networks is effective for translation, rotation and scale invariant pattern recognition. The pattern recognition is realized by the limits between connection weights. In this paper, we propose the learning method to get the limits between connection weights. This method is effective to generalized pattern recognition problem. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | higher order neural networks / pattern recognition / learning method |
Paper # | CAS 2000-65,CST 2000-20 |
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Conference Information | |
Committee | CST |
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Conference Date | 2000/11/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Concurrent System Technology (CST) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A proposed learning method for pattern recognition with higher order neural networks |
Sub Title (in English) | |
Keyword(1) | higher order neural networks |
Keyword(2) | pattern recognition |
Keyword(3) | learning method |
1st Author's Name | Shuji Yatsuki |
1st Author's Affiliation | Ube National College of Technology() |
2nd Author's Name | Masaya Fujii |
2nd Author's Affiliation | Ube National College of Technology |
3rd Author's Name | Hiromi Miyajima |
3rd Author's Affiliation | Fac. of Eng., Kagoshima University |
Date | 2000/11/2 |
Paper # | CAS 2000-65,CST 2000-20 |
Volume (vol) | vol.100 |
Number (no) | 417 |
Page | pp.pp.- |
#Pages | 6 |
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