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Journal of Pharmacognosy and Phytochemistry

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  |  873 Views  304 Downloads


Journal of Pharmacognosy and Phytochemistry Journal of Pharmacognosy and Phytochemistry
How to cite this article:
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.

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