Artificial Neural Network for Predicting Flood : A Review

Authors(2) :-Dr. Oye N. D., Hannatu M. G.

Flood disaster continues to occur in many countries around the world and cause tremendous casualties and property damage. An Artificial Neural Network (ANN) is a flexible approach which gives very promising results. Unfortunately, the inability to predict beyond the limits of the training range was found to be a serious limitation of this approach. Therefore, the accuracy of prediction is not significantly improved by a single output model.

Authors and Affiliations

Dr. Oye N. D.
Department of Computer Science, MAUTECH Yola, Nigeria
Hannatu M. G.
Department of Computer Science, MAUTECH Yola, Nigeria

Flood prediction; Artificial Neural Network; Biological Neuron; Fuzzy Logic Model

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Publication Details

Published in : Volume 3 | Issue 6 | July-August 2018
Date of Publication : 2018-07-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 196-209
Manuscript Number : CSEIT183642
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. Oye N. D., Hannatu M. G., "Artificial Neural Network for Predicting Flood : A Review", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 6, pp.196-209, July-August.2018
URL : http://ijsrcseit.com/CSEIT183642

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