提出了一种基于标准模型模糊神经网络的煤矸石识别方法．介绍了该方法的数学模型、网络结构及学习算法，并通过一个仿真实验对如何应用这种方法构建实时分选系统作了详细描述．实验结果表明该方法所用神经网络不仅收敛，而且具有良好的泛化能力 A coal gangue identification method based on the standard model fuzzy neural network is proposed. The mathematical model, network structure and learning algorithm of the method are introduced. And a detailed description of how to use this method to build a real-time sorting system is given through a simulation experiment. The experimental results show that the neural network used in this method not only converges but also has good generalization ability