Prediction of rainfall intensity using artificial intelligence (AI) techniques in Singapore

This paper will be covering the usage of artificial intelligence techniques, mainly using non-linear autoregressive with external(exogenous) input (NARX) to predict rainfall intensity in Singapore some 5, 15 and 30 minutes intervals ahead. The time-series data will be analysed by using data mining t...

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Bibliographic Details
Main Author: Toh, Jia Yee
Other Authors: Chan Chee Keong
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/78012
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Institution: Nanyang Technological University
Language: English
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Summary:This paper will be covering the usage of artificial intelligence techniques, mainly using non-linear autoregressive with external(exogenous) input (NARX) to predict rainfall intensity in Singapore some 5, 15 and 30 minutes intervals ahead. The time-series data will be analysed by using data mining techniques. Then, it will be grouped into four different on and off monsoon seasons, which are later used as training data for different artificial neural networks. Different scenarios of neural network will be explored using MATLAB NARX to find the best accuracy for predicting the intensity of the rainfall events.