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A hybrid computational intelligent algorithm is proposed by combining the Back Propagation (BP) algorithm and the Genetic algorithm (GA), which avoids the defects that the results of traditional BP network are easily trapped into local optimum solutions. The network convergence rate is raised by using the iteration of Levenberg-Marquardt algorithm on the basis of the proposed GA-BP strategy. With...
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