Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine
Knowledge in soil pore water pressure is important in slope stability analysis. The fluctuation of soil pore water pressure is mainly affect by the rainfall intensity. The pore water pressure can cause effect on the soil strength. A few problems has been identified in obtaining the pore water pre...
| Main Author: | Muhd Hasbi, Muhamad Alif |
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| Format: | Final Year Project |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.23025 / |
| Published: |
Universiti Teknologi PETRONAS
2017
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| Subjects: | |
| Online Access: |
http://utpedia.utp.edu.my/23025/1/FINAL%20DISSERTATION.pdf http://utpedia.utp.edu.my/23025/ |
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| Summary: |
Knowledge in soil pore water pressure is important in slope stability analysis. The
fluctuation of soil pore water pressure is mainly affect by the rainfall intensity. The
pore water pressure can cause effect on the soil strength. A few problems has been
identified in obtaining the pore water pressure reading which are time consuming and
intensive labor work that are from field instrumentation. However, the development of
soft-computing in nowadays has become focus as alternative technology to monitor
the changes of pore water pressure in soil, and scope in this study is to use support
vector machine. Then, a study on developing a model to predict the soil pore water
using polynomial kernel support vector machine and to evaluate the model performance has been conducted. |
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