Sub-domain intelligent modeling based on neural networks

In this paper, a new sub-domain intelligent modeling method based on neural networks is proposed for modeling the nonlinear multivariate process. The new modeling method decomposes the process into several levels sub-models and the low level models are the sub-model of the high level models. Since the modeling method is step by step to build the sub-models from low level models to high level models, it avoids the persistent excitation signal in multi-dimensions space, which is difficult to be produced due to the constraint of industry conditions. The accuracies and efficiencies of the modeling methodology are verified by simulation.