| 矿井构造的GMDH—BP评价预测方法及其应用 |
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| 引用本文： | 夏玉成 胡明星. 矿井构造的GMDH—BP评价预测方法及其应用[J]. 煤炭学报, 1997, 22(5): 466-470 |
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| 作者姓名： | 夏玉成 胡明星 |
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| 作者单位： | 西安矿业学院(夏玉成，陈练武)，中国矿业大学(胡明星) |
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| 摘 要： | 将自组织建模技术（ＧＭＤＨ）与ＢＰ人工神经网络结合，能克服现行矿井构造复杂程度评价预测方法的缺陷，步骤简便易行，结果更为可靠．应用这种方法，具体划分出霍州矿区辛置井田不同地段的构造相对复杂程度等级，经验证，评价准确率达９０％以上．
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| 关 键 词： | 自组织建模 BP网络 矿井构造 评价预测 |
GMDH BP METHOD AND ITS APPLICATION IN EVALUATION AND PREDICTION OF MINE STRUCTURE |
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| Xia Yucheng. GMDH BP METHOD AND ITS APPLICATION IN EVALUATION AND PREDICTION OF MINE STRUCTURE[J]. Journal of China Coal Society, 1997, 22(5): 466-470 |
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| Authors: | Xia Yucheng |
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| Abstract: | BP artificial neural network combined with GMDH self organized modeling is a more simple and reliable way than the current method used in evaluation and prediction of complexity degree of mine structure. The relative complexity degrees of the structures developing in various sections of Xinzhi Coal Mine in Huozhou Mining Area were determined by this method, and the degree of accuracy more than 90% was verified . |
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| Keywords: | self organized modeling BP network mine structure evaluation and prediction |
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