2008 | OriginalPaper | Chapter
Optimization of Modular Neural Network, Using Genetic Algorithms: The Case of Face and Voice Recognition
Authors : José M. Villegas, Alejandra Mancilla, Patricia Melin
Published in: Soft Computing for Hybrid Intelligent Systems
Publisher: Springer Berlin Heidelberg
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This paper deals with two optimization problems as the architecture (modules, layers and neurons) and the best training of an artificial neural network (ANN). For that matter is used a Hierarchical Genetic Algorithm, which theorically has the capacity to bring the optimal architecture and the training result of the ANN, for a particular task; in this case the recognition of an individual is via voice and face.