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介绍了模糊神经网络和D-S证据理论的煤矿瓦斯突出等级的评判方法,综合了模糊神经网络和D-S证据理论的优越性,建立了基于模糊神经网络和D-S证据理论的综合评判模型,通过对实验测试,证实了模糊神经网络和D-S证据理论的综合评判策略比单独使用一种策略更有效,精度更高。
This paper introduces the evaluation methods of coal mine gas outburst level based on fuzzy neural network and DS evidence theory. Based on the superiority of fuzzy neural network and DS evidence theory, a comprehensive evaluation model based on fuzzy neural network and DS evidence theory is established. It is confirmed that the comprehensive evaluation strategy of fuzzy neural network and DS evidence theory is more effective and more accurate than using a single strategy.