An Enhanced Fuzzy Neural Network

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 identity cards. Experimental results with a real database show that the proposed method has better performance than a conventional neural network.

• Type: Conference
• Year: 2004
• Where: PDCAT
• Authors: Kwang-Baek Kim, Young Hoon Joo, Jae-Hyun Cho
• Keywords: Distributed And Parallel Computing, Max-Min Neural Network, Multi-layer Neural Network, Neural Network, PDCAT 2004