基于小波分析与RBF神经网络的甘蔗制糖结晶过程预测

PREDICT IN CRYSTALLIZING PROCESS OF CANE SUGAR BASED ON WAVELET ANALYSIS AND RBF NEURAL NETWORKS

摘要: 本文针对甘蔗制糖结晶过程中由于传感器失灵引起的变量及参数不可测的问题，建立一个甘蔗制糖结晶过程的RBF（径向基函数）神经网络模型，该模型把小波分析和RBF神经网络紧密结合起来．实验结果表明该模型能达到逼近实际煮糖过程的目的．

Abstract: According to the problems such as the unaffected sensor, the unavailable parameters in crystallizing process of cane sugar, a kind of RBF neural network model is built in this paper. In the model, the RBF networks are combined with wavelet analysis. The empirical test indicates the model can approximate the realistic process of cane sugar.