Introduction - If you have any usage issues, please Google them yourself
Prepared a pso bp neural network optimization, application in the classification. First step: PSO optimization bp neural network to get the optimal threshold and weight, the second step bp neural network to the optimal threshold and weight as the initial threshold value and weight, momentum and adaptive learning rate training algorithm . Accessories, data and written part of the program,. Tiqushuju function is used to extract the text data structure of the sample set. mubiao is used to construct the desired output function. BP is already written, unused PSO optimization bp neural network function. pso pso bp neural network optimization function is written in my psobp PSO optimization threshold and the right values as a function of the initial weights and thresholds of BP neural network training and testing. But I am prepared particle swarm optimization BP network training effect and test the effect is far better than using only the effect of the bp.