Support vector machine applied to settlement of shallow foundations on cohesionless soils |
| |
Authors: | Pijush Samui |
| |
Institution: | aDepartment of Civil Engineering, Indian Institute of Science, Bangalore 560 012, India |
| |
Abstract: | The determination of settlement of shallow foundations on cohesionless soil is an important task in geotechnical engineering. Available methods for the determination of settlement are not reliable. In this study, the support vector machine (SVM), a novel type of learning algorithm based on statistical theory, has been used to predict the settlement of shallow foundations on cohesionless soil. SVM uses a regression technique by introducing an ε – insensitive loss function. A thorough sensitive analysis has been made to ascertain which parameters are having maximum influence on settlement. The study shows that SVM has the potential to be a useful and practical tool for prediction of settlement of shallow foundation on cohesionless soil. |
| |
Keywords: | Settlement Shallow foundation Support vector machine |
本文献已被 ScienceDirect 等数据库收录! |
|