Artificial Neural Networks Approximation of Density Dependent Saltwater Intrusion Process in Coastal Aquifers-Reference-Cited by-同舟云学术

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Artificial Neural Networks Approximation of Density Dependent Saltwater Intrusion Process in Coastal Aquifers

Published:2007-05 Issue:3 Volume:12 Page:273-282
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Bhattacharjya Rajib Kumar¹²³,Datta Bithin¹²³,Satish Mysore G.¹²³

Affiliation:

1. Assistant Professor, Dept. of Civil Engineering, National Institute of Technology, Silchar 788010, Assam, India.

2. Professor, Dept. of Civil Engineering, Indian Institute of Technology, Kanpur 208016, India.

3. Professor, Dept. of Civil Engineering, Dalhousie Univ., Halifax, NS, Canada B3J 1Z1.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%291084-0699%282007%2912%3A3%28273%29

Reference32 articles.

1. Regression Approximations for Transport Model Constraint Sets in Combined Aquifer Simulation-Optimization Studies

2. Optimal design of aquifer cleanup systems under uncertainty using a neural network and a genetic algorithm

3. Some exact solutions of interface problems by means of the hodograph method

4. Training Artificial Neural Networks to Perform Rainfall Disaggregation

5. Three‐Dimensional Modeling of Density‐Dependent Salt Water Intrusion in Multilayered Coastal Aquifers in Jahe River Baisn, Shandong Province, China

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