Simulation of groundwater level variations using wavelet combined with neural network, linear regression and support vector machine-Reference-Cited by-同舟云学术

Simulation of groundwater level variations using wavelet combined with neural network, linear regression and support vector machine

Published:2017-01 Issue: Volume:148 Page:181-191
ISSN:0921-8181
Container-title:Global and Planetary Change
language:en
Short-container-title:Global and Planetary Change

Author:

Ebrahimi Hadi,Rajaee Taher

Publisher

Elsevier BV

Subject

Oceanography,Global and Planetary Change

Reference36 articles.

1. A wavelet neural network conjunction model for groundwater level forecasting;Adamowski;J. Hydrol.,2011

2. A stochastic modeling technique for predicting groundwater table fluctuations with time series analysis;Adhikary;International Journal of Applied Science and Engineering Research,2012

3. Neural Network Toolbox 7 User's Guide;Beale,2010

4. Interpretation of water level changes in the high plains aquifer in western Kansas;Butler;Ground Water,2013

5. Prediction of monthly regional groundwater levels through hybrid soft-computing techniques;Chang;J. Hydrol.,2016

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