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In this paper, the application of D-S evidence theory in multi-feature, multi-neural network classifier pattern recognition has been researched. The key problem in determining the basic belief assignment (BBA) has been discussed in detail. A new method of determining the BBA based on neural network is presented in this paper. The result of traffic sign shape recognition experiment shows that this new method can not only improve the total correct recognition percentage, but also reduce the fuzziness of decision-making and simplify the calculation.