Application of artificial neural network for forecasting standardized precipitation and evapotranspiration index: A case study of Nigeria

• Published in: Engineering Reports
• Main Authors: Akinwale T. Ogunrinde, Phillip G. Oguntunde, Johnson T. Fasinmirin, Akinola S. Akinwumiju
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2020
• Subjects: artificial neural network; data‐driven model; drought; Nigeria; performance; Engineering (General). Civil engineering (General); TA1-2040; Electronic computers. Computer science; QA75.5-76.95; Nash; Sutcliffe; North Atlantic; North Atlantic oscillation
• Online Access: https://doi.org/10.1002/eng2.12194; https://doaj.org/article/384881f9ccce4fa085c98467ac33eb62

Abstract The necessity to perform an accurate prediction of future characteristics of drought requires a robust and efficient technique that can deduce from historical data the stochastic relationship or dependency between history and future. In this study, the applicability of the artificial neural...