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...

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Main Author: Muhd Hasbi, Muhamad Alif
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.23025 /
Published: Universiti Teknologi PETRONAS 2017
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access: http://utpedia.utp.edu.my/23025/1/FINAL%20DISSERTATION.pdf
http://utpedia.utp.edu.my/23025/
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spelling utp-utpedia.230252022-03-11T04:15:44Z http://utpedia.utp.edu.my/23025/ Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine Muhd Hasbi, Muhamad Alif TA Engineering (General). Civil engineering (General) 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. Universiti Teknologi PETRONAS 2017-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/23025/1/FINAL%20DISSERTATION.pdf Muhd Hasbi, Muhamad Alif (2017) Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine. Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Muhd Hasbi, Muhamad Alif
Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine
description 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.
format Final Year Project
author Muhd Hasbi, Muhamad Alif
author_sort Muhd Hasbi, Muhamad Alif
title Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine
title_short Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine
title_full Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine
title_fullStr Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine
title_full_unstemmed Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine
title_sort prediction of soil pore water pressure using polynomial kernel support vector machine
publisher Universiti Teknologi PETRONAS
publishDate 2017
url http://utpedia.utp.edu.my/23025/1/FINAL%20DISSERTATION.pdf
http://utpedia.utp.edu.my/23025/
_version_ 1741195896630018048
score 11.62408

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