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In order to verify the evaluation performance of the RBFNN\u2010PSO system, the traditional RBF neural network system is used as the control, and the training is carried out. The results show that the RBFNN\u2010PSO system can reach the convergence value faster than the traditional RBF neural network system in the training, and the training error is smaller. The results show that the scoring error of RBFNN\u2010PSO system is smaller than that of RBF neural network system, with higher accuracy and smaller error. 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