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 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.
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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
Conference Date 2000/11/2(1days)
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Registration To Concurrent System Technology (CST)
Language JPN
Title (in Japanese) (See Japanese page)
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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
Date of Issue