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Artificial Intelligence–Based Optimization of Reverse Osmosis Systems Operation Performance

Author(s): ORCID (Associate Professor, School of Civil Engineering, College of Engineering, Univ. of Tehran, Tehran 1417466191, Iran (corresponding author))
(Graduated M.Sc. Student, School of Environmental Engineering, Univ. of Tehran, Tehran 1417466191, Iran.)
(Ph.D. Candidate, School of Civil Engineering, College of Engineering, Univ. of Tehran, Tehran 1417466191, Iran.)
(Professor, School of Environmental Engineering, Univ. of Tehran, Tehran 1417466191, Iran.)
Medium: journal article
Language(s): English
Published in: Journal of Environmental Engineering (ASCE), , n. 2, v. 146
Page(s): 04019106
DOI: 10.1061/(asce)ee.1943-7870.0001613
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1061/(asce)ee.1943-7870.0001613.
  • About this
    data sheet
  • Reference-ID
    10586350
  • Published on:
    08/03/2021
  • Last updated on:
    08/03/2021
 
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