| 基于神经网络的综采设备配套专家系统研究 |
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| 引用本文： | 高峰,蒲宝山,王国法,徐亚军. 基于神经网络的综采设备配套专家系统研究[J]. 煤矿开采, 2007, 12(1): 14-16 |
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| 作者姓名： | 高峰 蒲宝山 王国法 徐亚军 |
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| 作者单位： | 山东科技大学,机械电子工程学院,山东,青岛,266510;兖矿矿业(集团)有限责任公司,山东,邹城,272100;天地科技股份有限公司,开采所事业部,北京,100013 |
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| 摘 要： | 对基于神经网络的综采配套专家系统进行了研究,给出了具体处理方法。在此基础上建立了工作面生产能力预测BP神经网络模型和综采工作面设备参数神经网络预测模型,并采用上述模型对济二号煤矿试验工作面的产量、工效和综机设备主要技术参数进行了预测。
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| 关 键 词： | 人工神经网络 专家系统 设备配套 |
| 文章编号： | 1006-6225(2007)01-0014-03 |
| 修稿时间： | 2006-09-21 |
Expert System of Full-mechanized Equipments Fitting Based on Artificial Neural Network |
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| GAO Feng,PU Bao-shan,WANG Guo-fa,XU Ya-jun. Expert System of Full-mechanized Equipments Fitting Based on Artificial Neural Network[J]. Coal Mining Technology, 2007, 12(1): 14-16 |
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| Authors: | GAO Feng PU Bao-shan WANG Guo-fa XU Ya-jun |
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| Abstract: | Expert system of full-mechanized equipments fitting based on artificial neural network is researched and processing method is presented in this paper.On the basis of this,BP neural network models for the forecast of production capability of mining face and the parameters of equipment fitting of full-mechanized mining face are built up.Employing these models forecasts the output,work efficiency and main technical parameters of full-mechanized equipment of the test mining face in Ji'er Colliery. |
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| Keywords: | artificial neural network expert system equipment fitting |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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