| Development and Application of Intelligent Prediction Software for Broken Rock Zone Thickness of Drifts |
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| 引用本文： | XUGuo-an JINGHong-wen LIKai-ge CHENKun-fu. Development and Application of Intelligent Prediction Software for Broken Rock Zone Thickness of Drifts[J]. 中国矿业大学学报(英文版), 2005, 15(2): 86-90 |
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| 作者姓名： | XUGuo-an JINGHong-wen LIKai-ge CHENKun-fu |
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| 作者单位： | [1]SchoolofArchitectureandCivilEngineering,ChinaUniversityofMining＆Technology,Xuzhou,Jiangsu221008,China [2]ZhengzhouSub-Bureau,HenanBureauofCoalMineSafetySupervision,Zhengzhou,Henan450000,China |
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| 基金项目： | Projects 50474063 and 50490273 supported by National Natural Science Foundation of China |
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| 摘 要： | In order to seek the economical, practical and effective method of obtaining the thickness of broken rock zone, an emerging intelligent prediction method with adaptive neuro-fuzzy inference system (ANFIS) was introduced into the thickness prediction. And the software with functions of creating and applying prediction systems was developed on the platform of MATLAB6.5. The software was used to predict the broken rock zone thickness of drifts at Liangbei coal mine, Xinlong Company of Coal Industry in Xuchang city of Henan province. The results show that the predicted values accord well with the in situ measured ones. Thereby the validity of the software is validated and it provides a new approach to obtaining the broken zone thickness.
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| 关 键 词： | 智能预测软件 自适应模糊神经推论 破碎岩层 地层厚度 漂移 |
Development and Application of Intelligent Prediction Software for Broken Rock Zone Thickness of Drifts |
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| XU Guo-an,JING Hong-wen,LI Kai-ge,CHEN Kun-fu. Development and Application of Intelligent Prediction Software for Broken Rock Zone Thickness of Drifts[J]. Journal of China University of Mining and Technology, 2005, 15(2): 86-90 |
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| Authors: | XU Guo-an JING Hong-wen LI Kai-ge CHEN Kun-fu |
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| Affiliation: | 1. School of Architecture and Civil Engineering, China University of Mining & Technology, Xuzhou, Jiangsu 221008, China
2. Zhengzhou Sub-Bureau, Henan Bureau of Coal Mine Safety Supervision, Zhengzhou, Henan 450000, China |
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| Abstract: | In order to seek the economical, practical and effective method of obtaining the thickness of broken rock zone, an emerging intelligent prediction method with adaptive neuro-fuzzy inference system (ANFIS) was introduced into the thickness prediction. And the software with functions of creating and applying prediction systems was devel- oped on the platform of MATLAB6.5. The software was used to predict the broken rock zone thickness of drifts at Li- angbei coal mine, Xinlong Company of Coal Industry in Xuchang city of Henan province. The results show that the predicted values accord well with the in situ measured ones. Thereby the validity of the software is validated and it provides a new approach to obtaining the broken zone thickness. |
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| Keywords: | broken rock zone around drift intelligent prediction software adaptive neuro-fuzzy inference system (ANFIS) |
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