Hybrid Adaptive Neuro-Fuzzy Models for Water Quality Index Estimation
Hybrid Adaptive Neuro-Fuzzy Models for Water Quality Index Estimation
About this item
Full title
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Publisher
Dordrecht: Springer Netherlands
Journal title
Language
English
Formats
Publication information
Publisher
Dordrecht: Springer Netherlands
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Scope and Contents
Contents
Soft computing models are known as an efficient tool for modelling temporal and spatial variation of surface water quality variables and particularly in rivers. These model’s performance relies on how effective their simulation processes are accomplished. Fuzzy logic approach is one of the authoritative intelligent model in solving complex problems...
Alternative Titles
Full title
Hybrid Adaptive Neuro-Fuzzy Models for Water Quality Index Estimation
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_1999425875
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1999425875
Other Identifiers
ISSN
0920-4741
E-ISSN
1573-1650
DOI
10.1007/s11269-018-1915-7
