Abstract
The parameter selection of the traditional BP neural network (BPNN) has randomness, which makes the network prone to local extreme values during the calculation process. In order to solve this problem, this paper introduces the bat algorithm(BA) to optimize the parameter selection process of the BPNN and apply the algorithm to evaluate the enterprises’ operating condition, a corresponding evaluation model of the enterprises’ operating condition is established, and the evaluation model is applied to the prediction of the enterprises’ future operating condition and compared with the prediction effect of the traditional BPNN model. The prediction accuracy of the BPNN optimization algorithm is higher than the prediction accuracy of the traditional BPNN. The established enterprise operation evaluation model can effectively predict the future operation of the enterprise.
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