Proceedings of the Korean Institute of Information and Commucation Sciences Conference (한국정보통신학회:학술대회논문집)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지

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)
  • Published : 2004.05.01
Download PDF
⟨ Previous Next ⟩

Abstract

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.

Keywords