| 应用人工神经网络理论预测综采工作面技术经济指标 |
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| 引用本文： | 叶斌,王小汀.应用人工神经网络理论预测综采工作面技术经济指标[J].东北煤炭技术,1999(4):3-5,3. |
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| 作者姓名： | 叶斌 王小汀 |
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| 作者单位： | 太原理工大学!太原030024 |
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| 摘 要： | 应用人工神经网络理论，在对大同矿区的综采工作面的实际资料进行分析的基础上，建立了综采工作面经济指标神经网络预测模型，就综采工作面的月产量、月进度、回采工作面效率、期末人数４项综合技术经济指标进行了预测，其预测结果较为准确与实际相吻合。
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| 关 键 词： | 综采工作面 人工神经网络 技术经济指标 采煤 |
APPLIED ATIFICAL NEURAL NETWORK THEORY TO FORECAST ECONOMIC AND TECHNICAL INDEX OF FULLY MECHANIZED COAL MINING FACE |
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| Yie Bin,Wang Xiaoting.APPLIED ATIFICAL NEURAL NETWORK THEORY TO FORECAST ECONOMIC AND TECHNICAL INDEX OF FULLY MECHANIZED COAL MINING FACE[J].Studio Classroom,1999(4):3-5,3. |
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| Authors: | Yie Bin Wang Xiaoting |
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| Affiliation: | Yie Bin Wang Xiaoting |
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| Abstract: | On the basis of actual data of fully mechanized coal mining face in Datong coal mining area,established atifical neural network model for forecasting the economic and technical index.In fact,the model fouction is exactly accuracy.The predictive results,such as monthly progress,output and capacity index etc,quite agree with the actual condition of fully mechanized coal mining face. |
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| Keywords: | fully mechanized coal mining face index forecast Artifical neural network |
| 本文献已被 CNKI 维普 等数据库收录！ |
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