The Methods Study of Fouling Prediction Using Radial Basis Function network

Fouling is a physical and chemi complicated process which is influenced by many factors.The implementation of fouling prediction using traditional mathematic methods is very difficulty.This paper describes an approach,which use Radial Basis Function Neural Network and BP Neural(Network) to predict fouling.As a result,we can conclude that RBF(Radial Basic Function) network behaves more effectively than BP network after we compared their results.