DocumentCode :
525377
Title :
Application of Support Vector Machine in establishing the quantitative relationship of mining subsidence and the coupling of joints with the tectonic stress
Author :
Xue-yang, Sun ; Xia Yu-cheng
Author_Institution :
Sch. of Geol. & Environ., Xi´´an Univ. of Sci. & Technol., Xi´´an, China
Volume :
3
fYear :
2010
fDate :
25-27 June 2010
Abstract :
In order to obtain the features of coal mining subsidence under complicated geological conditions, and to improve the forecasting accuracy of mining subsidence, software FLAC3D is adopted to simulate excavating 55 models in which tectonic stress and joints is taken into account. The effect of the coupling of joints with the tectonic stress on mining subsidence is investigated. And then the quantitative relationship between mining subsidence and the coupling of joint with the tectonic stress is established by using Support Vector Machine (short for SVM). The results show that: SVM has a higher accuracy and faster calculating speed in establishing the quantitative relationship compared with using BP artificial neural network method and multiple linear regression analysis method. SVM should be adopted in searching the quantitative relationship between coal mining subsidence and geological factors.
Keywords :
backpropagation; mining industry; neural nets; regression analysis; support vector machines; tectonics; BP artificial neural network; coal mining subsidence; joints coupling; multiple linear regression analysis; software FLAC3D; support vector machine; tectonic stress; Application software; Compressive stress; Electronic mail; Geology; Gravity; Predictive models; Sun; Support vector machines; Technology forecasting; Tensile stress; Support Vector Machine; joints; mining subsidence; quantitative relationship; tectonic stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
Type :
conf
DOI :
10.1109/ICCDA.2010.5541317
Filename :
5541317
Link To Document :
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