Determination of Weighting Values of Neural Networks By Means of Genetic Algorithms.

概要

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Backpropagation is a one of the most typical learning methods employed in neural networks (NN). Although the method is very efficient for numerical data processing and learning, the calculation is considerably complicated. In this study we propose an alternative learning method using a genetic algorithm(GA). Our Preliminary results show that the classification rate by using the NN with GA is comparable to that with backpropagation for classification of simple categories of images. And the former method is slightly superior to the latter method for classifying difficult categories. Moreover, our results show that the proposed method has better feature in terms of convergence for obtaining the optimum solution in learning.
Medical Imaging and Information Sciencesの論文