Modelling urban air quality using artificial neural network
β Scribed by S. M. Shiva Nagendra; Mukesh Khare
- Book ID
- 106273448
- Publisher
- Springer
- Year
- 2005
- Tongue
- English
- Weight
- 501 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1618-954X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
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 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
## Abstract The prediction of groundwater levels in a basin is of immense importance for the management of groundwater resources, especially in coastal regions where the water table fluctuations are to be limited to avoid seawater intrusion. In this paper, an Artificial Neural Network (ANN) methodo