Cooperative evolutionary neural network and its application

In this paper, particle swarm optimization (PSO) algorithm is analyzed, which is a new kind of swarm intelligent optimal algorithm. The studies on PSO algorithm concentrate on the combination of artificial neural network and simulated annealing algorithm. A cooperative evolutionary algorithm (SAPSO) based on PSO and simulated annealing algorithm is proposed. The SAPSO algorithm is employed to train artificial neural network and applied to soft-sensing of melt-index of High Pressure Low-Density Polyethylene yield. The simulation results show that these models have higher measuring precision as well as better generalization ability.