## 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
Modelling of a cascade refrigeration system using artificial neural network
β Scribed by M. Hosoz; H. M. Ertunc
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 200 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0363-907X
- DOI
- 10.1002/er.1218
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
In dealing with human nervous system, the sensation of pain is as sophisticated as other physiological phenomena. To obtain an acceptable model of the pain, physiology of the pain has been analysed in the present paper. Pain mechanisms are explained in block diagram representation form. Because of t
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
## Abstract Growing interest in the use of artificial neural networks (ANNs) in rainfallβrunoff modelling has suggested certain issues that are still not addressed properly. One such concern is the use of network type, as theoretical studies on a multiβlayer perceptron (MLP) with a sigmoid transfer