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(Unpublished)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 |
Download
![[thumbnail of PPb_NOOR MUNIRAH MD SAAD CS 06_5 1.pdf]](https://ir.uitm.edu.my/style/images/fileicons/text.png)
PPb_NOOR MUNIRAH MD SAAD CS 06_5 1.pdf
Download (63kB)
Digital Copy
Digital (fulltext) is available at:
Physical Copy
Physical status and holdings:
Item Status:
ID Number
1736
Indexing
![](https://library.uitm.edu.my/images/2020/01/23/googlescholar-01.png)
![](https://www.base-search.net/interface/images/base_logo_kl.png)