http://iaeme.com/Home/journal/IJCIET 2491 editor@iaeme.com International Journal of Civil Engineering and Technology (IJCIET) Volume 10, Issue 02, February 2019, pp. 2491-2498, Article ID: IJCIET_10_02_247 Available online at http://iaeme.com/Home/issue/IJCIET?Volume=10&Issue=2 ISSN Print: 0976-6308 and ISSN Online: 0976-6316 © IAEME Publication Indexed Scopus PREDICTION OF EXTERNAL STABILITY FOR SEGMENTAL RETAINING WALL USING NEURAL NETWORK AND SUPPORT VECTOR MACHINE Tarig Mohamed, Anuar Kasa, Norinah Abdul Rahman, Maryam Gaber Department of Civil & Structural Engineering, UKM, Malaysia ABSTRACT The main goal of this study is to predict the external stability for segmental retaining walls reinforced with geogrid by applying artificial neural networks (ANN) and statistical method, Support Vector Machine (SVM) according to the kernel function. The data used for this study were 110 sets of segmental retaining wall designs. The targets used for prediction were the factor of safety for overturning, base sliding and bearing capacity and the input parameters were the height of the wall, slope angle and surcharge load. The results achieved from the RBF kernel model are found to be better than other SVM kernel models. The regression square (R 2 ) values for ANN prediction were 0.933, 0.984 and 0.998 while the (R 2 ) values for SVM prediction based on Radial Basis Function (RBF) kernel were 0.732, 0.839 and 0.932 for overturning, base sliding and bearing capacity safety factor, respectively. The predicted result showed that ANN obtains higher regression square value as compared with SVM based on Radial Basis Function (RBF) kernel model. Finally, both ANN model and SVM based on RBF model successfully predicted the external stability for segmental retaining walls. Key words: Artificial Neural Network (ANN), support vector machine, retaining wall, external stability and Prediction. Cite this Article: Tarig Mohamed, Anuar Kasa, Norinah Abdul Rahman, Maryam Gaber, Prediction of External Stability for Segmental Retaining Wall Using Neural Network and Support Vector Machine, International Journal of Civil Engineering and Technology, 10(02), 2019, pp. 2491 2498 – http://iaeme.com/Home/issue/IJCIET?Volume=10&Issue=2 1. INTRODUCTION Retaining wall structure is very important types of structure in civil engineering [1]. Surroundings retaining structures are the type of structures commonly used to deal with backfill