Md Saad, Noor Munirah
(2006)

*Rainfall-induced landslide prediction using backpropagation neural network / Noor Munirah Md Saad.*[Student Project] (Unpublished)## Abstract

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.

## Metadata

Item Type: | Student Project |
---|---|

Creators: | Creators Email / ID Num. Md Saad, Noor Munirah UNSPECIFIED |

Subjects: | Q Science > Q Science (General) > Back propagation (Artificial intelligence) Q Science > QA Mathematics > Mathematical statistics. Probabilities > Prediction analysis Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Neural networks (Computer science) |

Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences |

Keywords: | Landslide prediction, Back propagation, Neural network |

Date: | 2006 |

URI: | https://ir.uitm.edu.my/id/eprint/1736 |

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