Abstract
Aiming at the problems of low prediction accuracy and premature convergence of traditional BP network prediction models, firefly algorithm FA is introduced into BP neural network model to optimize the optimization process of neural network weights and thresholds. This paper presents a BP neural network prediction model based on firefly algorithm. Taking Fujian port throughput data as an example, the application verification and comparative analysis of the improved prediction algorithm are carried out. The experimental results show that the improved FA-BP prediction algorithm has better performance in prediction accuracy and stability.
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