节点文献
煤层底板突水人工神经网络预测
ANN FORECAST FOR WATER-INRUSH FROM COAL FLOOR
【摘要】 本文综合考虑水源、水压、隔水层、断层等因素对煤层底板突水的影响 ,建立了煤层底板突水人工神经网络预测模型。实例分析表明 ,该模型具有较高的预测精度 ,预测结果比较可靠
【Abstract】 This paper considers comprehensively water source,water pressure,impedance water strata,and fault ectal factors to establish a ANN forecast model for water-inrush from coal floor.The analysis of actual examples indicates the forecast precision of ANN trained is more precise in prediction,and the predicting result is reliable.
- 【文献出处】 山东农业大学学报(自然科学版) ,Journal of Shandong Agricultural University , 编辑部邮箱 ,2002年01期
- 【分类号】TP183
- 【被引频次】29
- 【下载频次】256