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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Wang, M. (2005). Extension neural network-type 3. In Lecture Notes in Computer Science (Vol. 3496, pp. 503–508). Springer Verlag. https://doi.org/10.1007/11427391_80
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