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

• Main Author: Toh, Jia Yee
• Other Authors: Chan Chee Keong
• Format: Final Year Project
• Language: English
• Published: 2019
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/78012
• Institution: Nanyang Technological University

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.