基于CAFA-BP算法的股票风险评估

Stock Risk Assessment Based on Firefly Algorithm Optimized BP Network

引入改进后的Chebyshev混沌映射函数对萤火虫算法的步长进行更新,利用改进后的萤火虫算法搜索BP神经网络的初始参数,建立了基于萤火虫算法的BP神经网络的股票风险评估模型。仿真结果表明优化的股票风险评估模型是有效的。

The improved Chebyshev chaotic mapping function was introduced to update the step size of the firefly algorithm,and the initial parameters of BP neural network were searched by the improved firefly algorithm.The stock risk assessment model of BP neural network based on the firefly algorithm was established.The simulation results show that the optimized stock risk assessment model is effective.