A hybrid modeling method based on mechanism analysis, identification and RBF neural networks

This paper proposed a hybrid modeling method based on mechanism analysis, identification and RBF neural networks. First, Get a industrial object´s low-order model by the mechanism analysis and identification method. Second, adopt RBF neural networks modeling method to compensate unmodeled high-order model. The sum of the low-order model and high-order model is the hybrid model. This kind of hybrid model has more accuracy than a model which is gotten by mechanism analysis and identification method and has more generalization capability than a model which is gotten by neural networks modeling method.