Prioritization of effective factors in the occurrence of land subsidence and its susceptibility mapping using an SVM model and their different kernel functions

Author:

Abdollahi Sahar,Pourghasemi Hamid RezaORCID,Ghanbarian Gholam Abbas,Safaeian Roja

Funder

Shiraz University

Publisher

Springer Science and Business Media LLC

Subject

Geology,Geotechnical Engineering and Engineering Geology

Reference47 articles.

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2. Auria L, Moro R (2008) Support vector machines (SVM) as a technique for solvency analysis. Deutsches Institut fur Wirtschaftsforschung 1–16

3. Azarbagh H (2014) Evaluation of the amount of soil restoration in the formation and development of gaps in Jiroft plain. Master's dissertation. Islamic Azad University Zahedan. Faculty of Sciences. 87pp [Persian]

4. Behzad M, Asghari K, Coppola EA (2010) Comparative study of SVMs and ANNs in aquifer water level prediction. J Comput Civ Eng 5:408–413

5. Bhavsar H, Ganatra A (2014) Increasing efficiency of support vector machine using the novel kernel function: combination of polynomial and radial basis function. International Journal on Advanced Computer Theory and Engineering (IJACTE) 3:17–24

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