merged

A Study of Weather Prediction in South China Sea Using Artificial Neural
Network
Nurul Najihah binti Tajudin
Supervisor: Dr. Ahmad Faisal bin Mohamad Ayob
Bachelor of Applied Science (Maritime Technology)
School of Ocean Engineering
Universiti Malaysia Terengganu
Weather forecasting is a complex and often challenging skill that involves observing
and processing vast amounts of data. Weather forecasting has traditionally been done
by physical models of the atmosphere, which are unstable to perturbations, and thus
are inaccurate for large periods of time. It is the most important types of forecasting
because many industries are largely dependent on the weather condition. Hence, this
research used Artificial Neural Network (ANN) to predict weather condition in South
China Sea. Neural networks seem to be the most popular machine learning model
choice for weather forecasting because of its ability to capture the non-linear
dependencies of past weather trends and future weather conditions. Since machine
learning techniques are more robust to perturbations, in this research we explore their
application to weather forecasting to potentially generate more accurate weather
forecasts for large periods of time. The result which will confirm that this model has
the potential for successful application to forecasting weather in near future.
257 | U M T U N D E R G R A D U A T E R E S E A R C H D A Y 2 0 1 9