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Soft Computing Based Prediction of Deviator Stress of Waste Plastic Reinforced SandBy Rakesh Kumar Dutta, Viswas Nandakishor Khatri, Tammineni Gnananandarao
Abstract: In the recent past, the soft computing techniques have received a significant attention for solution of the geotechnical stability problems. Following the trend, the present study tries to explore the use of different soft computing techniques such as random forest regression, support vector machines (SVM) RBF kernel, SVM poly kernel and M5P model tree for the prediction of deviator stress of sand reinforced with waste plastic strips. The deviator stress …
Published in Journal of Geotechnical Engineering · Vol. 6, Issue 3, 2019 · pp. 1–7 Read article →