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

By H. Ebrahimi, Taher Rajaee. 2017

155 citations recorded by the source corpus.

Subfields: Environmental Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/36da428b85725ab4e00a72b6a319abd9e9ad5672

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Mojtaba Shourian
2. Ahmad Khazaee Poul
3. H. Ebrahimi

In Water Science and Technology

1. Ahmad Khazaee Poul
2. Mojtaba Shourian
3. H. Ebrahimi

Citations in the corpus

• A Comparative Study of MLR, KNN, ANN and ANFIS Models with Wavelet Transform in Monthly Stream Flow Prediction (2019, methodology): “In this study, the Meyer wavelet was used for decomposing of time series because it is a suitable wavelet for hydrological time series analysis (Rajaee 2011; Ebrahimi and Rajaee 2017).”