关键词: 分块压边力, 鱼群算法, BP神经网络, 粒子群算法

Abstract:

Relationship of several segmental binder force and forming quality was bulit, which was based on BP neural network and fish swarm algorithm. The first approach was gotten training samples for BP neural network by Latin hypercube designs based on maximum and minimum principle. Then simulation software was used to get forming quality and used as training outputs for BP neural network. Fish swarm algorithm was used to optimize BP neural network, which built relationship of several segmental binder force and forming quality.PSO was adopted to obtain optimal result of function relation. Compared with whole binder force,forming quality is improved greatly.The research fruits indicate that the method can calculate optimal several segmental binder force quickly. It can make up computational difficulties of several segmental binder force.

Key words: several segmental binder force, fish swarm algorithm, BP neural network, particle swarm optimization(PSO)