期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2012
卷号：4
期号：2
出版社：International Center for Scientific Research and Studies
摘要：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
关键词：Artificial Neural Network; Support Vector Machine; Site ;Characterization; SPT
