Forecast method of water inrush quantity from coal floor based on distance discriminant analysis theory

被引:0
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作者
Chen, Hong-Jiang [1 ]
Li, Xi-Bing [1 ]
Liu, Ai-Hua [1 ]
Dong, Long-Jun [1 ]
Liu, Zhi-Xiang [1 ]
机构
[1] School of Resources and Safety Engineering, Central South University, Changsha 410083, China
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Coal - Discriminant analysis - Least squares approximations - Forecasting;
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摘要
In order to analyze the phenomenon of water inrush from coal floor theoretically, it is essential to make simplification and takes only the most significant factors related to the problem into the theoretic model, such as existence of water source, water pressure, mining failure thickness of seam floor, and fault displacement etc. Fifteen representative engineering cases of water inrush from coal floor were taken as training samples. A correspondent forecast model of water inrush quantity was established based on the principle of Mahalanobis distance discriminant analysis theory. The forecast model was applied and tested in four actual water inrush cases, both the validity and the feasibility were approved. The result is same or better than the results with the least squares SVM, ANN or other methods.
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页码:487 / 491
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