Identification of Unknown Groundwater Pollution Sources Using Artificial Neural Networks-Reference-Cited by-同舟云学术

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Identification of Unknown Groundwater Pollution Sources Using Artificial Neural Networks

Published:2004-11 Issue:6 Volume:130 Page:506-514
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Singh Raj Mohan¹,Datta Bithin²,Jain Ashu³

Affiliation:

1. PhD Research Scholar, Dept. of Civil Engineering, Indian Institute of Technology, Kanpur 208016, India.

2. Professor and Head, Dept. of Civil Engineering, Indian Institute of Technology, Kanpur 208016, India. E-mail: bithin@iitk.ac.in

3. Assistant Professor, Dept. of Civil Engineering, Indian Institute of Tchnology, Kanpur 208016, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9496%282004%29130%3A6%28506%29

Reference29 articles.

1. Artificial Neural Networks in Hydrology. I: Preliminary Concepts

2. An efficient implementation of BP on RISC-based workstations

3. Identification of Contaminant Source Location and Release History in Aquifers

4. Pollution source identification in heterogeneous porous media

5. Atmadja J. and Bagtzoglou A.C. (2001b). “State of the art report on mathematical methods to reliable of groundwater pollution source identification.” Environ. Forensics 2(3) 205–214.

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