## Abstract This paper investigates the prediction of Class A pan evaporation using the artificial neural network (ANN) technique. The ANN back propagation algorithm has been evaluated for its applicability for predicting evaporation from minimum climatic data. Four combinations of input data were
โฆ LIBER โฆ
Modelling of Gangotri glacier thickness and volume using an artificial neural network
โ Scribed by Haq, Mohd Anul; Jain, Kamal; Menon, K.P.R.
- Book ID
- 127388682
- Publisher
- Taylor and Francis Group
- Year
- 2014
- Tongue
- English
- Weight
- 353 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0143-1161
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This paper proposes the use of artificial neural networks (ANNs) to predict various performance parameters of a direct evaporative air cooler. For this aim, an experimental evaporative cooler was operated at steady-state conditions, while varying the dry bulb temperature and relative humidity of the