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本文提出了一种用神经网络来实现模糊系统建模的神经模糊网络，并将其用于建立预测模型，同时网络采取动态的网络结构和参数以适应预测对象环境变化和结构变化。实例分析证实了该模型有较强的适应性和较高的精度
In this paper, a neural network based on neural network to model fuzzy systems is proposed and used to build a predictive model. At the same time, the network adopts dynamic network structure and parameters to adapt to changes in the environment and structure of the forecast objects. The case study shows that the model has strong adaptability and high accuracy