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Advanced control of membrane fouling in filtration systems using artificial intelligence and machine learning techniques: A critical review paper
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Paper

Advanced control of membrane fouling in filtration systems using artificial intelligence and machine learning techniques: A critical review

000e6e53b1480e11ec5b99b9cd7b27905ccebbdf
Free2AITools Nexus Index
71.0
S: Semantic 50

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A: Authority 89
P: Popularity 66
R: Recency 100
Q: Quality 65
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Abstract This paper critically reviews all artificial intelligence (AI) and machine learning (ML) techniques for the better control of membrane fouling in filtration processes, with the focus on water and wastewater treatment systems. Artificial neural networks (ANNs), fuzzy logic, genetic programming and model trees were found to be four successfully employed modeling techniques. The results show that well-known ANNs such as multilayer perceptron and radial basis function can predict membran...

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Semantic Scholar 209 Citations
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Registry ID 000e6e53b1480e11ec5b99b9cd7b27905ccebbdf
License ArXiv
Provider semantic_scholar
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Academic & Research Attribution

BibTeX 
@misc{000e6e53b1480e11ec5b99b9cd7b27905ccebbdf,
  title = {Advanced control of membrane fouling in filtration systems using artificial intelligence and machine learning techniques: A critical review Paper},
  howpublished = {\url{https://api.semanticscholar.org/000e6e53b1480e11ec5b99b9cd7b27905ccebbdf}},
  note = {Accessed via Free2AITools.}
}
APA Style
Advanced control of membrane fouling in filtration systems using artificial intelligence and machine learning techniques: A critical review [Paper]. Free2AITools. https://api.semanticscholar.org/000e6e53b1480e11ec5b99b9cd7b27905ccebbdf

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Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 89
Popularity (P) 66
Recency (R) 100
Quality (Q) 65

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FNI V2.0 for Advanced control of membrane fouling in filtration systems using artificial intelligence and machine learning techniques: A critical review: Authority (A:89), Popularity (P:66), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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πŸ“ Executive Summary

"Abstract This paper critically reviews all artificial intelligence (AI) and machine learning (ML) techniques for the better control of membrane fouling in filtration processes, with the focus on water and wastewater treatment systems. Artificial neural networks (ANNs), fuzzy logic, genetic programming and model trees were found to be four successfully employed modeling techniques. The results show that well-known ANNs such as multilayer perceptron and radial basis function can predict membran..."

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@article{Advanced,
  title={Advanced control of membrane fouling in filtration systems using artificial intelligence and machine learning techniques: A critical review},
  note={Indexed by Free2AITools}
}

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πŸ“Š Research Signals

πŸ“ˆ209CitationsSemantic Scholar
πŸ›οΈ89AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
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ArXiv
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