Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting

Author:

Ali Mumtaz,Deo Ravinesh C.,Downs Nathan J.,Maraseni Tek

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference123 articles.

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4. 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 Resources Research.,2012

5. Influence of North Atlantic oscillations and Southern oscillations on winter precipitation of Northern Pakistan;Afzal;Pakistan J. Meteorol.,2013

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