Discussion of ‘Modeling water table depth using adaptive Neuro-Fuzzy Inference System by Umesh Kumar Das, Parthajit Roy and Dillip Kumar Ghose (2017)-Reference-Cited by-同舟云学术

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Discussion of ‘Modeling water table depth using adaptive Neuro-Fuzzy Inference System by Umesh Kumar Das, Parthajit Roy and Dillip Kumar Ghose (2017)

Published:2018-06-21 Issue:4 Volume:26 Page:468-471
ISSN:0971-5010
Container-title:ISH Journal of Hydraulic Engineering
language:en
Short-container-title:ISH Journal of Hydraulic Engineering

Author:

Barati Reza¹

Affiliation:

1. Civil Engineering Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran

Publisher

Informa UK Limited

Subject

Fluid Flow and Transfer Processes,Water Science and Technology,Civil and Structural Engineering,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/09715010.2018.1488224

Reference35 articles.

1. Prediction of longitudinal dispersion coefficient in natural rivers using a cluster-based Bayesian network

2. Modelling long-term groundwater fluctuations by extreme learning machine using hydro-climatic data

3. Flow and Storage in Groundwater Systems

4. Parameter Estimation of Nonlinear Muskingum Models Using Nelder-Mead Simplex Algorithm

5. Application of excel solver for parameter estimation of the nonlinear Muskingum models

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