| 基于遗传神经网络的煤矿突水预测 |
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| 引用本文： | 雷西玲,张景,谢天保. 基于遗传神经网络的煤矿突水预测[J]. 计算机工程, 2003, 29(11): 132-133,F003 |
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| 作者姓名： | 雷西玲 张景 谢天保 |
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| 作者单位： | 西安理工大学计算机学院,西安,710048 |
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| 基金项目： | 煤炭部研究院西安分院资助项目 |
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| 摘 要： | 文章综合考虑了水源、隔水层、断层等因素对煤矿突水的影响，建立了基于遗传神经网络的煤矿突水预测模型，实验结果表明，该模型具有较高的预测精度，预测结果可靠，为矿井水害防治提供了一种辅助决策手段。
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| 关 键 词： | 遗传算法 神经网络 突水预测 |
| 文章编号： | 1000-3428(2003)11-0132-02 |
Forecast for Water-inrush from Coal Floor Based on Genetic Neural Networks |
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| LEI Xiling,ZHANG Jing,XIE Tianbao. Forecast for Water-inrush from Coal Floor Based on Genetic Neural Networks[J]. Computer Engineering, 2003, 29(11): 132-133,F003 |
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| Authors: | LEI Xiling ZHANG Jing XIE Tianbao |
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| Abstract: | This paper comprehensively considers water source, water pressure, w ater pressure, impedance water strata, and fault ectal factors to establish a GN N forecast model for water-inrush from coal floor. Experimental results that the method is more precise in prediction, has high visual effect. And the predictin g result is reliable, which provides an assistant means for decision-making to p revent water-inrush from coal floor. |
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| Keywords: | Genetic algorithm Neural network Forecast for water-inrush |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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