A Review of the Artificial Neural Network Models for Water Quality Prediction
A Review of the Artificial Neural Network Models for Water Quality Prediction
About this item
Full title
Author / Creator
Chen, Yingyi , Song, Lihua , Liu, Yeqi , Yang, Ling and Li, Daoliang
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Water quality prediction plays an important role in environmental monitoring, ecosystem sustainability, and aquaculture. Traditional prediction methods cannot capture the nonlinear and non-stationarity of water quality well. In recent years, the rapid development of artificial neural networks (ANNs) has made them a hotspot in water quality predicti...
Alternative Titles
Full title
A Review of the Artificial Neural Network Models for Water Quality Prediction
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_d1e277c58c8946bdb1fe74146e2248e0
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d1e277c58c8946bdb1fe74146e2248e0
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app10175776
