Enhancing the Accuracy of Metaheuristic Neural Networks in Predicting Underground Water Levels Using Meteorological Data and Remote Sensing: A Case Study of Ardabil Plain, Iran

Author:

azizi mobaser javanshir,Akbari Majd Amin,Rasoulzadeh Ali,Hasanpour Kashani Mahsa,Kisi Ozgur

Publisher

Elsevier BV

Reference102 articles.

1. Comparison of performance of statistical models in forecasting monthly streamflow of Kizil River;Abudu Resources;China. Water Science and Engineering,2010

2. A wavelet neural network conjunction model for groundwater level forecasting;J Adamowski;Journal of Hydrology,2011

3. Comparison of multivariate regression and artificial neural networks for peak urban water-demand forecasting: evaluation of different ANN learning algorithms;J Adamowski;Journal of Hydrologic Engineering,2010

4. Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data;R M Adnan;Geocarto International,2023

5. Daily groundwater level fluctuation forecasting using soft computing technique;A K Affandi;Nature and Science,2007

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