期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2011
卷号：8
期号：3
出版社：IJCSI Press
摘要：Evolutionary algorithms are considered more efficient for optimal system design because they can provide higher opportunity for obtaining the global optimal solution. This paper introduces a method for construct and train Recurrent Neural Networks (RNN) by means of Multi-Objective Genetic Algorithms (MOGA). The use of a multi-objective evolutionary algorithm allows the definition of many objectives in a natural way. The case study of the proposed model is the phoneme recognition. We have shown that the proposed model is able to achieve good results in recognition tasks.
