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Study of the Differentiating Model for Coal Structure Types Based on BP Neural Network
Pages: 19-22
Year: Issue:  11
Journal: Safety in Coal Mines

Keyword:  coal structure typesBP neural networkcoal ultrasonic attenuation coefficientcoal uhrasonie speed;
Abstract: 针对矿井中在煤体结构类型细致辨识方面存在的难题,根据构造煤的结构特点及超声波在煤体中的传播特性和规律,并综合考虑波速、衰减系数等与煤体结构类型相关的参量,提出了一种以超声波反射法和BP神经网络为基础的煤体结构类型判识模型。实验证明该模型能够对煤体结构类型实现有效的判识,对煤与瓦斯突出灾害的预测具有重要的指导意义。
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