Cooperative evolutionary neural network and its application

On the basis of analyzing the particle swarm optimization (PSO) algorithm, a cooperative evolutionary algorithm (SAPSO) based on PSO and simulated annealing (SA) algorithm is proposed. It can validly overcome the premature problem in PSO through cooperative search between PSO and SA. Then, SAPSO 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 demonstrate that the model has effective generalization performance, higher precision and engineering practicability.