Funder
Universiti Kebangsaan Malaysia
Subject
Water Science and Technology
Reference58 articles.
1. Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada;Adamowski;Water Resour. Res.,2012
2. Arvind Singh, T., Bhawana, N., Lokendra, S., 2015. Drought spells identification with indices for Almora district of Uttarakhand, India. American International Journal of Research in Science, Technology, Engineering & Mathematics, 12(1), September- November, 2015, pp. 01-05, ISSN (Print): 2328-3491.
3. Belayneh A., Adamowski J. 2013. Drought forecasting using new machine learning methods. Journal of Water and Land Development. No. 18 p. 3–12.
4. Short-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet transforms and machine learning methods;Belayneh;Sustain. Water Resour. Manage.,2016
5. Bishop, C.M., Neural networks for pattern recognition. Oxford University Press, 1995, pp. 482.
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