Predicting real-time coagulant dosage in water treatment by artificial neural networks and adaptive network-based fuzzy inference system

Engineering Applications of Artificial Intelligence

Volumn 21, Issue 8, 2008, Pages 1189-1195

  Wu, Guan De ^a   Lo, Shang Lien ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Adaptive network based fuzzy inference system; Artificial neural networks; Coagulant dosage; Water treatment

Indexed keywords

ALUMINA; BACKPROPAGATION; CHEMICAL WATER TREATMENT; CHEMICALS REMOVAL (WATER TREATMENT); COAGULATION; EFFLUENTS; FORECASTING; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; HEAVY WATER; INTELLIGENT CONTROL; NETWORK PROTOCOLS; POTABLE WATER; SENSOR NETWORKS; SURFACE WATERS; TURBIDITY; VEGETATION; WATER QUALITY; WATER RECYCLING; WATER TREATMENT; WATER TREATMENT PLANTS;

ADAPTIVE; ADAPTIVE NETWORK-BASED FUZZY INFERENCE SYSTEM; ADAPTIVE NETWORKS; ALUMINUM CHLORIDES; AND OPERATORS; ARTIFICIAL NEURAL NETWORKS; COAGULANT DOSAGE; COAGULANT DOSAGES; DRINKING WATER QUALITIES; FUZZY INFERENCE SYSTEMS; HEAVY RAINS; JAR TESTS; MODELING; NORTHERN TAIWAN; OPERATION METHODS; PREDICTING MODELS; REAL TIMES; SIMULATION TOOLS; STORM WATERS; TREATED EFFLUENTS; WATER SOURCES;

NEURAL NETWORKS;

EID: 54049119210     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2008.03.015     Document Type: Article

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