Heavy Rainfall Forecasting Model Using Artificial Neural Network for Flood Prone Area-Reference-Cited by-同舟云学术

Heavy Rainfall Forecasting Model Using Artificial Neural Network for Flood Prone Area

Published:2017-08-31 Issue: Volume: Page:68-76
ISSN:1876-1100
Container-title:IT Convergence and Security 2017
language:
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Author:

Sulaiman Junaida,Wahab Siti Hajar

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-6451-7_9

Reference15 articles.

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2. Daud, A., Mat Aji, S., Muhamad, N.: Synoptic and hydrological analysis of flood event over kelantan and terengganu, Kuala Lumpur, Malaysia (2011)

3. Latt, Z.Z., Wittenberg, H.: Improving flood forecasting in a developing country: a comparative study of stepwise multiple linear regression and artificial neural network. Water Resour. Manag. 28, 2109–2128 (2014)

4. Shoaib, M., Shamseldin, A.Y., Melville, B.W., Khan, M.M.: A comparison between wavelet based static and dynamic neural network approaches for runoff prediction. J. Hydrol. 535, 211–225 (2016)

5. Mekanik, F., Imteaz, M.: A multivariate artificial neural network Approach for rainfall forecasting: case study of Victoria, Australia. In: Proceedings of the World Congress on Engineering and Computer Science (2012)

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