基于改进BP神经网络算法的煤巷支护方案预测研究
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摘要
基于工程实践和巷道支护领域知识的研究和分析,将改进的BP神经网络算法应用到煤巷支护参数预测中,确定了煤巷支护设计主要影响因素,从现场收集的巷道支护典型工程案例作为神经网络训练样本。建立了基于改进的BP神经网络支护参数预测模型,应用该方法对云驾岭煤矿巷道进行支护方案预测,预测误差在允许范围内,验证了本方法的可靠性。
Based on the engineering practice and analysis of roadway support knowledge,the improved BP neural network algorithm was applied into coal roadway support prediction and the main influencing factors of coal roadway support design are determined.The typical engineering cases of roadway support collected from the sites were used as training samples.The prediction model of support parameters based on the improved BP neural network was established and was used to predict the support scheme of Yunjialing Mine,the error of the result was within the allowable range,and the reliability of this model was verified.
Based on the engineering practice and analysis of roadway support knowledge,the improved BP neural network algorithm was applied into coal roadway support prediction and the main influencing factors of coal roadway support design are determined.The typical engineering cases of roadway support collected from the sites were used as training samples.The prediction model of support parameters based on the improved BP neural network was established and was used to predict the support scheme of Yunjialing Mine,the error of the result was within the allowable range,and the reliability of this model was verified.
引文
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