| 基于灰色神经网络串联组合模型的涌水量预测 |
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| 引用本文： | 陈善成,姚多喜,李小龙,许继影,王俊.基于灰色神经网络串联组合模型的涌水量预测[J].淮南职业技术学院学报,2009,9(4):25-27. |
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| 作者姓名： | 陈善成 姚多喜 李小龙 许继影 王俊 |
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| 作者单位： | 安徽理工大学地球与环境学院,安徽,淮南,232001 |
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| 摘 要： | 利用矿井涌水量实测值建立灰色理论与神经网络串联组合的预测模型，即利用不同灰色模型预测值训练神经网络进行预测，提高矿井涌水量的预测精度，先后建立了GM（1，1）、二次参数拟合GM（1，1）模型，将其与BP神经网络模型串联形成最终预测模型，以淮南矿区潘三矿西翼矿井涌水量预测为例，结果说明了该模型具有较高的准确性。
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| 关 键 词： | GM（1，1） BP神经网络 涌水量 预测模型 |
Forecast of Hydraulic Discharge Based on Grey Neural Network Inseries Peg Model |
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| CHEN Shan-cheng,YAO Duo-xi,LI Xiao-long,XU Ji-ying,WANG Jun.Forecast of Hydraulic Discharge Based on Grey Neural Network Inseries Peg Model[J].Journal of Huainan Vocational & Technical College,2009,9(4):25-27. |
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| Authors: | CHEN Shan-cheng YAO Duo-xi LI Xiao-long XU Ji-ying WANG Jun |
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| Institution: | ( School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001 ) |
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| Abstract: | This paper establishes forecast model of grey theory and neural network inseries peg by mine hy-draulic discharge measured value - predicts by different predicted value of grey model training neural network to make the forecast of mine hydraulic discharge more accurate. Model GM （1.1） and ting GM （ 1.1 ） are made up one after another, which are connected with BP neural make up the final forecast model. The Xiyi Mine hydraulic discharge of Pansan Mine that this kind of model has high accuracy. |
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| Keywords: | GM(1 1) |
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