A new method of optimizing BP neural network by using improved dung beetle optimization(IDBO)algorithm is proposed in this paper.The population is initialized by Chebyshev chaotic map,and the efficient search is realized by combining golden sine strategy and dynamic weight coefficient.Based on the MATLAB R2024a,the simulative result shows that the IDBO-BP model performs well on both the training set and the testing set,which significantly improves the fitting degree,generalization ability and prediction accuracy,and the convergence speed is faster.This method effectively improves the performance of neural networks,provides a new way to solve the complex data processing problems,and shows a broad application prospect.
BP neural networkdung beetle optimization algorithmgolden sine strategyChebyshev chaotic map
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