Weather Forecasting Models Using Neural Networks and Adaptive Neuro Fuzzy Inference for Two Case Studies at Houston, Texas and Dallas States

Forecasting of precipitation is one of the most challenging operational tasks done by hydrologists. This operation can be described as most complicated procedure that includes multiple specialized fields of expertise. In this research a comprehensive study was employed to forecast daily precipitatio...

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Veröffentlicht in:	Journal of Asian scientific research (Online) 2018-01, Vol.8 (1), p.1
Hauptverfasser:	Arslan, Chelang A, Kayis, Enas
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive systems Artificial neural networks Back propagation networks Case studies Hydrologic models Hydrology Meteorological data Neural networks Precipitation Weather forecasting
Online-Zugang:	Volltext
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