Presentation 1999/3/19
An Approach to Reliable Pattern Recognition with Randomized ANNs and its Alications
Tohru NAKAGAWA, Keiichi HORIKAWA, Kazuya OHISHI, Hiroyuki KOTERA, Hajime KITAGAWA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents an architecture of artificial neural networks, abbreviated ANN, for implementing highly reliable pattern recognition. The architecture includes at least one randomized multiple ANN (abbreviated RANN) and, if necessary, more RANNs to be connected with each other in a pipelined manner. In a learning phase, each ANN which is an element of a RANN should be trained under the same learning condition except for the randomized initial state of each ANN. In a recall phase, the outputs of each ANN should be unified with the others using a simple operation such as logical AND. In the case of coin identification for a Japanese vending machine, our RANN has a 0% misclassification rate. Moreover, in the case of a handwritten character recognition, the proposed pipelined architecture can reduce the misclassification ratio from 9% to 3%.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Pattern Recognition / Generalization / Reliability / Randomized ANN / Coin Identification.
Paper # NC98-155
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Conference Information
Committee NC
Conference Date 1999/3/19(1days)
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Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Approach to Reliable Pattern Recognition with Randomized ANNs and its Alications
Sub Title (in English)
Keyword(1) Pattern Recognition
Keyword(2) Generalization
Keyword(3) Reliability
Keyword(4) Randomized ANN
Keyword(5) Coin Identification.
1st Author's Name Tohru NAKAGAWA
1st Author's Affiliation Department of Information & Control Engineering Toyota Technological Institute()
2nd Author's Name Keiichi HORIKAWA
2nd Author's Affiliation Daicel Chemical Industries, LTD.
3rd Author's Name Kazuya OHISHI
3rd Author's Affiliation Department of Information & Control Engineering Toyota Technological Institute
4th Author's Name Hiroyuki KOTERA
4th Author's Affiliation Department of Information & Control Engineering Toyota Technological Institute
5th Author's Name Hajime KITAGAWA
5th Author's Affiliation Department of Information & Control Engineering Toyota Technological Institute
Date 1999/3/19
Paper # NC98-155
Volume (vol) vol.98
Number (no) 674
Page pp.pp.-
#Pages 8
Date of Issue