PSO算法优化BP神经网络的应用研究

Application research on optimization of BP neural network by PSO algorithm

为有效处理各领域非线性复杂系统问题,并克服传统BP神经网络存在的网络学习收敛速度慢,以及容易陷入局部极小等问题,引入粒子群算法PSO。通过介绍BP神经网络及PSO算法的基本原理,综述了PSO-BP神经网络仿真预测模型在农业、工业机械、环境科学及社会经济等领域的应用研究,表明该模型的广泛适用性及应用价值。

In order to effectively deal with the nonlinear complex problems in various fields and to overcome the problems of slow convergence of network learning and easy to fall into local minima in traditional BP neural networks,particle swarm algorithm(PSO)is introduced.The basic principles of BP neural network and PSO algorithm are directed.The application research of PSO-BP neural network model in agriculture,industrial machinery,environmental science and social economy is reviewed.It shows the wide applicability and application value of the model.