In this paper, a new nonlinear combination forecasting method based on fuzzy Takagi-Sugeno model is presented to overcome the limitation in linear combination forecasting. Furthermore, the corresponding back propagation learning algorithm is put forward to identify the structure of the fuzzy model and partitions of fuzzy subsets.Theoretical analysis and forecasting examples all show that the new techniques has reinforcement learning properties and universalized capabilities. With respect to combined modelin...
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