Extension neural network-type 3

Authors:
Manghui Wang
Affiliations:
Institute of Information and Electrical Energy, National Chin-Yi Institute of Technology, Taichung, Taiwan, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Year:
2005

Citing 2
Cited 2

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Abstract

The extension neural network types 1 and 2 have been proposed in my recent paper. In this sequel, this paper will propose a new extension neural network called ENN-3. The ENN-3 is a three layers neural network and a pattern classifier. It shows the same capability as human memory systems to keep stability and plasticity characteristics at the same time, and it can produce meaningful weights after learning. The ENN-3 can solve the linear and nonlinear separable problems. Experimental results from two benchmark data sets verify the effectiveness of the proposed ENN-3.