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

• Published in: Engineering Reports
• Main Authors: Ogunrinde, Akinwale T., Oguntunde, Phillip G., Fasinmirin, Johnson T., Akinwumiju, Akinola S.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2020
• Subjects: General Engineering; General Computer Science; Nash; Sutcliffe; North Atlantic; North Atlantic oscillation
• Online Access: http://dx.doi.org/10.1002/eng2.12194; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Feng2.12194; https://onlinelibrary.wiley.com/doi/pdf/10.1002/eng2.12194; https://onlinelibrary.wiley.com/doi/full-xml/10.1002/eng2.12194

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...