In order to obtain flatness pattern recognition method of high accuracy and simple operation .this paper presents a chaotic particle swarm initialization sequence, as well as put the chaotic sequence join into the thin iterative search process after meeting some conditions, Elman neural network shape pattern recognition method to improve the convergence speed and accuracy. In neural network modeling process, using chaotic particle swarm optimization algorithm global search for the best advantage of the ability to obtain the optimal network parameters optimized to improve accuracy of the flatness pattern recognition.
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