Publication: Investigating the Application of Artificial Intelligence for Earthquake Prediction in Terengganu
Date
2020-09
Authors
Suzlyana Marhain binti Masrizan
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Abstract
This thesis reports the investigation of the application of artificial intelligence for
earthquake in Terengganu. Earthquake is one of the devastating and frightening
natural disasters that caused big casualties in a small duration. By studying the
application of artificial intelligence in earthquake prediction can be useful in
predicting the earthquake. In this report, a few of artificial intelligence algorithms
such as Support Vector Machine, Automated Neural Network, Boosted Decision Tree
Regression, Random Forest and Multivariate Adaptive Regression Spline will be used
in the development of best model algorithm. Data meteorological data is collected and
processed for normalization and the data will be analysed using algorithms and its
performance will be evaluated. The model algorithm will be analysed to measure its
sensitivity and accuracy in prediction and consistency of the result.
Description
Interim Semester 2020/2021
Keywords
Earthquake Prediction