| BP神经网络在测井数据预测原煤灰分中的应用 |
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| 引用本文： | 谢小国,曹莉苹.BP神经网络在测井数据预测原煤灰分中的应用[J].四川地质学报,2014(2):304-306. |
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| 作者姓名： | 谢小国 曹莉苹 |
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| 作者单位： | 四川中成煤田物探工程院有限公司,成都610000 |
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| 摘 要： | 测井曲线能敏感反应原煤灰分,为了利用测井数据分析原煤灰分,采用BP神经网络建立测井数据预测原煤灰分模型,用以研究利用自然伽马、密度和视电阻率等测井参数估测原煤灰分的方法。通过网络训练与测试,实验预测结果与期望结果吻合性好、误差小,因而BP神经网络可以用于测井数据预测原煤灰分。
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| 关 键 词： | BP神经网络 测井数据 原煤灰分 应用 |
The Application of BP Artificial Neural Network to Prediction of Raw Coal Ash Based on Logging Data |
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| XIE Xiao-guo,CAO Li-ping.The Application of BP Artificial Neural Network to Prediction of Raw Coal Ash Based on Logging Data[J].Acta Geologica Sichuan,2014(2):304-306. |
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| Authors: | XIE Xiao-guo CAO Li-ping |
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| Institution: | (Sichuan Zhongcheng Institute of Coalfield Geophysical Engineering, Chengdu 610072) |
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| Abstract: | Logging curves can respond sensitively to raw coal ash. This paper establishes a prediction model for raw coal ash based on logging data by means of BP neural network, using nature gamma curve, density curve and apparent resistivity curve for estimating raw coal ash. |
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| Keywords: | BP neural network logging data raw coal ash application |
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