一种新的基于模糊模型的非线性组合预测方法及其应用

针对线性组合预测方法的局限性，提出了一种基于T－S模糊模型的非线性组合预测新方法，并给出了相应的反向传播学习算法．理论分析和应用实例表明：该方法具有很强的学习与泛化能力，在处理诸如非线性系统中时间序列的组合建模与预测方面有很好的应用价值．

A New Nonlinear Combination Forecasting Method Based on Fuzzy Model and Its Application

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 modeling and forecasting of non-stationary time series in nonlinear systems, which have some uncertainties, the methed are feasible and effective.