کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4687864 | 1635696 | 2006 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Genetic Programming Approach for Predicting Surface Subsidence Induced by Mining
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موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
فرآیندهای سطح زمین
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چکیده انگلیسی
The surface subsidence induced by mining is a complex problem, which is related with many complex and uncertain factors. Genetic programming (GP) has a good ability to deal with complex and nonlinear problems, therefore genetic programming approach is proposed to predict mining induced surface subsidence in this article. First genetic programming technique is introduced, second, surface subsidence genetic programming model is set up by selecting its main affective factors and training relating to practical engineering data, and finally, predictions are made by the testing of data, whose results show that the relative error is approximately less than 10%, which can meet the engineering needs, and therefore, this proposed approach is valid and applicable in predicting mining induced surface subsidence. The model offers a novel method to predict surface subsidence in mining.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of China University of Geosciences - Volume 17, Issue 4, December 2006, Pages 361-366
Journal: Journal of China University of Geosciences - Volume 17, Issue 4, December 2006, Pages 361-366
نویسندگان
Zhai Shuhua, Gao Qian, Song Jianguo,