The neural network in the application of the grate cooler system modeling

In view of the fact that the material thickness of grate cooler system is difficult to measure, we present a new method of modeling that takes advantage of genetic algorithm to optimize the BP neural network and has a contrast with the pure BP neural network. Simulation shows that the BP neural network model which is optimized by genetic algorithm has a small error. At the same time, it is more stable than the BP neural network model. It can also make a foundation of controlling grate cooler system in future.