Prediction of water table depth in western region, Orissa using BPNN and RBFN neural networks
- 26 November 2010
- journal article
- Published by Elsevier BV in Journal of Hydrology
- Vol. 394 (3-4), 296-304
- https://doi.org/10.1016/j.jhydrol.2010.09.003
Abstract
No abstract availableKeywords
This publication has 6 references indexed in Scilit:
- Artificial neural network modeling of water table depth fluctuationsWater Resources Research, 2001
- Classification ability of single hidden layer feedforward neural networksIEEE Transactions on Neural Networks, 2000
- Prévision hydrologique par réseaux de neurones artificiels : état de l'artCanadian Journal of Civil Engineering, 1999
- Modeling water table fluctuations by means of a stochastic differential equationWater Resources Research, 1998
- Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functionsIEEE Transactions on Neural Networks, 1998
- Estimating fluctuation quantities from time series of water-table depths using models with a stochastic componentJournal of Hydrology, 1997