Performance Improvement of Multilayer Perceptrons with Increased Output Nodes per Class
نویسنده
چکیده
Generally, we allocate one output node per class in pattern recognition applications of MLPs(multilayer perceptrons). In this paper, we propose a method to improve generalization capability of MLPs through increasing the number of output nodes per class. We verify that the proposed method decreases misclassification ratios of MLPs through a short mathematical aspect. And then, simulations of isolated-word recognition show the effectiveness of our method.
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