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APPLICATION OF ARTIFICIAL INTELLIGENCE MODELS IN WATER QUALITY FORECASTING

Author
YEON, I. S1 ; KIM, J. H2 ; JUN, K. W3
[1] Chungbuk National University, Cheongju, 361-763, Korea, Republic of
[2] Korea Institute of Construction Technology, Goyang, 411-712, Korea, Republic of
[3] Kangwon National University, Samcheok, 245-711, Korea, Republic of
Source

Environmental technology. 2008, Vol 29, Num 6, pp 625-631, 7 p ; ref : 8 ref

ISSN
0959-3330
Scientific domain
Environment; Geology; Pollution; Toxicology
Publisher
Selper, London
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
ANFIS (adaptive neuro-fuzzy inference system) Water quality forecasting monitoring neural networks
Keyword (fr)
Carbone organique total Cours eau Eau surface Intelligence artificielle Modélisation Oxygène dissous Pluie Qualité eau Réseau neuronal Surveillance Système temps réel Temps réel
Keyword (en)
Total organic carbon Stream Surface water Artificial intelligence Modeling Dissolved oxygen Rain Water quality Neural network Surveillance Real time system Real time
Keyword (es)
Carbono orgánico total Curso agua Agua superficie Inteligencia artificial Modelización Oxígeno disuelto Lluvia Calidad agua Red neuronal Vigilancia Sistema tiempo real Tiempo real
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D16 Pollution / 001D16A Water treatment and pollution / 001D16A04 Natural water pollution / 001D16A04C Continental surface waters

Discipline
Pollution
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20632420

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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