Study of Advance Surrounding Rock Classification Based on TSP203 and Extenics

Zhang, Lewen; Qiu, Daohong; Li, Shucai; Zhang, Deyong

doi:10.1061/47631(410)32

Advances in Pile Foundations, Geosynthetics, Geoinvestigations, and Foundation Failure Analysis and Repairs 2011

DOI: 10.1061/47631(410)32

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Study of Advance Surrounding Rock Classification Based on TSP203 and Extenics

Lewen Zhang¹,

Daohong Qiu²,

Shucai Li³

et al.

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2014

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Stability Analysis of Surrounding Rock Based on QGA-SVM

Xie

Yang

Qiu

et al. 2014

AMR

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In order to analyze the stability of surrounding rock accurately and effectively, a rock classification method based on QGA (quantum genetic algorithm)-SVM (support vector machine) is put forward. QGA was used for global search in the solution space to optimize the kernel function parameters of SVM. And this method improved the classification accuracy of SVM in rock classification. Finally, a rock classification model based on QGA-SVM was established and applied to practical engineering. The result shows that the improved SVM has a higher accuracy in stability analysis of surrounding rock.

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Stability Analysis of Surrounding Rock Based on QGA-SVM

Xie

Yang

Qiu

et al. 2014

AMR

View full text Add to dashboard Cite

show abstract

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Study of Advance Surrounding Rock Classification Based on TSP203 and Extenics

Cited by 1 publication

References 0 publications

Stability Analysis of Surrounding Rock Based on QGA-SVM

Stability Analysis of Surrounding Rock Based on QGA-SVM

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