Jundishapur Journal of Health Sciences

Published by: Kowsar

An Artificial Neural Network - Particle Swarm Optimization (ANN- PSO) Approach to Predict Heavy Metals Contamination in Groundwater Resources

Meysam Alizamir 1 , * and Soheil Sobhanardakani 2
Authors Information
1 Young Researchers and Elite Club, Hamedan Branch, Islamic Azad University, Hamedan, IR Iran
2 Department of Environment, Hamedan Branch, Islamic Azad University, Hamedan, IR Iran
Article information
  • Jundishapur Journal of Health Sciences: April 2018, 10 (2); e67544
  • Published Online: April 28, 2018
  • Article Type: Research Article
  • Received: February 26, 2018
  • Revised: March 27, 2018
  • Accepted: April 21, 2018
  • DOI: 10.5812/jjhs.67544

To Cite: Alizamir M, Sobhanardakani S. An Artificial Neural Network - Particle Swarm Optimization (ANN- PSO) Approach to Predict Heavy Metals Contamination in Groundwater Resources, Jundishapur J Health Sci. 2018 ; 10(2):e67544. doi: 10.5812/jjhs.67544.

Copyright © 2018, Jundishapur Journal of Health Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited
1. Background
2. Objectives
3. Methods
4. Results
5. Discussion
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