Application of Artificial Neural Networks for Identifying Optimal Groundwater Pumping and Piping Network Layout-Reference-Cited by-同舟云学术

Application of Artificial Neural Networks for Identifying Optimal Groundwater Pumping and Piping Network Layout

Published:2018-10-25 Issue:15 Volume:32 Page:5067-5079
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Gaur Shishir,Dave Apurve,Gupta Anurag,Ohri Anurag,Graillot Didier,Dwivedi S. B.

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

http://link.springer.com/article/10.1007/s11269-018-2128-9/fulltext.html

Reference30 articles.

1. ASCE Task Committee (2000) Application of artificial neural networks in hydrology artificial neural networks in hydrology I: preliminary concept. J Hydrol Eng 5-2:115–123

2. Adams R, Parkin G (2002) Development of a coupled surface-groundwater-pipe network model for the sustainable management of karstic groundwater. Environ Geol 42:513–517

3. Arndt O, Barth T, Freisleben B, Grauer M (2005) Approximating a finite element model by neural network prediction for facility optimization in groundwater engineering. Eur J Oper Res 166:769–781

4. Atiya A, Ji C (1997) How initial conditions affect generalization performance in large networks. IEEE Trans on Neural Netw 8(2):448–451

5. Ayvaz MT (2016) A hybrid simulation–optimization approach for solving the areal groundwater pollution source identification problems. J Hydrol 538:161–176

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