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Manuscript Title: Site Characterization of (IGCAR) Kalpakkam Using Soft Computing Techniques

Author : Pijush Samui, Edison. T, Harikumar. C and Sivathanu Pillai. C

Email : pijush.phd@gmail.comedison.gis@gmail.com, chk@igcar.gov.incsp@igcar.gov.in

Abstract: This study employs Artificial Neural Network (ANN) and Support Vector Machine (SVM) for developing site characterization model of Indira Gandhi Centre for Atomic Research (IGCAR) (Kalpakkam) based on Standard Penetration Test (SPT) value (N). The input variables of ANN and SVM are latitude, longitude and depth of the boreholes. N is the output of the ANN and SVM models. The developed SVM gives an equation for prediction of N value at any point in IGCAR. The performance of ANN and SVM is comparable. The results show that the developed ANN and SVM is reliable model for prediction of N value at any point in IGCAR.

Keywords: Artificial Neural Network, Support Vector Machine, Site Characterization, SPT.

Vol 4 (2)