Title: Application of RBF Neural Network Based on Improved Genetic Algorithm
Abstract: In this paper,a radial basis function (RBF) neural network based on improved genetic algorithm (IGA) was proposed. A hybrid learning algorithm that incorporated the real-coded genetic algorithm with adaptive crossover and mutation into the gradient-dropping algorithm was presented to optimize the RBF neural network. And the simulation experiments about approximation problem of nonlinear function and pattern recognition of missile's failure were done. The simulation results show that the RBF neural network based on IGA not only has the advantages of simple structure and fast learning,but also has better generalization performance.
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
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Cited By Count: 1
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