Prediction of Nanofiltration and Reverse-Osmosis-Membrane Rejection of Organic Compounds Using Random Forest Model-Reference-Cited by-同舟云学术

Prediction of Nanofiltration and Reverse-Osmosis-Membrane Rejection of Organic Compounds Using Random Forest Model

Published:2020-11 Issue:11 Volume:146 Page:04020127
ISSN:0733-9372
Container-title:Journal of Environmental Engineering
language:en
Short-container-title:J. Environ. Eng.

Author:

Lee Sangsuk¹,Kim Jooho²^ORCID

Affiliation:

1. Ph.D. Student, Dept. of Civil, Environmental and Architectural Engineering, Univ. of Colorado Boulder, Boulder, CO 80309.

2. Postdoctoral Researcher, National Weather Center, Cooperative Institute for Mesoscale Meteorological Studies, 120 David L Boren Blvd., Norman, OK 73072 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EE.1943-7870.0001806

Reference117 articles.

1. Editorial—Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research

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4. Artificial neural network approach for predicting reverse osmosis desalination plants performance in the Gaza Strip

5. Permutation importance: a corrected feature importance measure

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