Using neural networks coupled with particle swarm optimization technique for mathematical modeling of air gap membrane distillation (AGMD) systems for desalination process-Reference-Cited by-同舟云学术

Using neural networks coupled with particle swarm optimization technique for mathematical modeling of air gap membrane distillation (AGMD) systems for desalination process

Published:2016-01-19 Issue:8 Volume:28 Page:2099-2104
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Shirazian Saeed,Alibabaei Masoud

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-016-2184-0/fulltext.html

Reference24 articles.

1. Hou D, Wang Z, Li G, Fan H, Wang J, Huang H (2015) Ultrasonic assisted direct contact membrane distillation hybrid process for membrane scaling mitigation. Desalination 375:33–39. doi: 10.1016/j.desal.2015.07.018

2. Chen Z, Rana D, Matsuura T, Meng D, Lan CQ (2015) Study on structure and vacuum membrane distillation performance of PVDF membranes: II. Influence of molecular weight. Chem Eng J 276:174–184. doi: 10.1016/j.cej.2015.04.030

3. Kezia K, Lee J, Weeks M, Kentish S (2015) Direct contact membrane distillation for the concentration of saline dairy effluent. Water Res 81:167–177. doi: 10.1016/j.watres.2015.05.042

4. Nakoa K, Rahaoui K, Date A, Akbarzadeh A (2015) An experimental review on coupling of solar pond with membrane distillation. Sol Energy 119:319–331. doi: 10.1016/j.solener.2015.06.010

5. Shukla S, Benes NE, Vankelecom I, Méricq JP, Belleville MP, Hengl N, Marcano JS (2015) Sweep gas membrane distillation in a membrane contactor with metallic hollow-fibers. J Membr Sci 493:167–178. doi: 10.1016/j.memsci.2015.06.040

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