Journal of Pharmacognosy and Phytochemistry
Vol. 7, Issue 3 (2018)
A review: Groundwater level forecasting using artificial neural network
Author(s):
Amandeep Singh, Sushant Bhardwaj, Sanjay Kumar and Narender Kumar
Abstract:
As groundwater resources are more intensively used, there is increasing demand for monitoring of groundwater systems. Precise prediction of groundwater level is important for management of groundwater source. Out of the various methods available, ANN is a very useful tool for predicting groundwater level. In Artificial neural network also different models were used for forecasting of groundwater level but most accurate predictions was achieved with a standard feed forward neural network trained with the Leven berg-Marquardt algorithm.
Pages: 2433-2436 | 882 Views 309 Downloads
Amandeep Singh, Sushant Bhardwaj, Sanjay Kumar and Narender Kumar. A review: Groundwater level forecasting using artificial neural network. J Pharmacogn Phytochem 2018;7(3):2433-2436.