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介绍了煤矸石识别系统的构成和标准模型模糊神经网络建模方法 ,并通过仿真试验实例对如何应用这种方法构建实时分选系统作了详细描述。最后的试验结果显示出该系统能较好地满足设计要求 ,并具有一定的泛化能力。
This paper introduces the constitution of coal gangue identification system and the standard model fuzzy neural network modeling method, and gives a detailed description on how to use this method to build real-time sorting system through simulation experiments. The final test results show that the system can better meet the design requirements, and has a certain generalization ability.