Rainfall-induced landslide prediction using backpropagation neural network / Noor Munirah Md Saad

This research project is about landslide prediction using back propagation neural
network. The objectives of the research project are to identify rainfall variable that is
used for landslide prediction, apply the back propagation neural network model to
classify the risks of landslide and determine whether Back propagation Neural
Network can be used as one of prediction tools. A simple three-layer neural network
with six input nodes and three output nodes is employed to learn the data.
Experiments are performed to determine the optimal learning. The total accuracy of
prediction rate is 88.7 %. This research reveals that with a few improvements, back
propagation neural network is able to be used in the prediction.