Simulation and Implement of RBFNN Soft Sensor Based on Embedded System

Implement problem of the RBF neural network soft sensor on WinCE embedded system is discussed.By using K-means procedure,the cluster center is established and recursion algorithm is given to train the network weight value.A Double network structure is built to improve the network accuracy.One is used to train sample data and the other is used to train network error.To implement this soft sensor instrument, industrial embedded computer is used for hardware platform,and the software is programmed with Embedded visual C++.This method is used to estimate the freeze point of diesel oil in modeling data and good results are obtained.