한국정보통신학회:학술대회논문집 (Proceedings of the Korean Institute of Information and Commucation Sciences Conference)
- 한국해양정보통신학회 2004년도 SMICS 2004 International Symposium on Maritime and Communication Sciences
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- Pages.1-5
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- 2004
Enhanced Fuzzy Multi-Layer Perceptron
- Kim, Kwang-Baek (Dept. of Computer Science, Silla University) ;
- Park, Choong-Sik (Faculty of Computer Information Eng., Youngdong University) ;
- Abhjit Pandya (Department of Computer Science and Engineering, Florida Atlantic University)
- 발행 : 2004.05.01
초록
In this paper, we propose a novel approach for evolving the architecture of a multi-layer neural network. Our method uses combined ART1 algorithm and Max-Min neural network to self-generate nodes in the hidden layer. We have applied the. proposed method to the problem of recognizing ID number in student identity cards. Experimental results with a real database show that the proposed method has better performance than a conventional neural network.
키워드