Assessing wastewater reclamation potential by neural network model

Engineering Applications of Artificial Intelligence

Volumn 16, Issue 2 SPEC., 2003, Pages 149-157

  Chen, J C ^a   Chang, N B ^b   Shieh, W K ^c  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b TEXAS A AND M UNIVERSITY   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Artificial intelligence; Neural networks; Wastewater reclamation; Wastewater treatment

Indexed keywords

ARTIFICIAL INTELLIGENCE; COST EFFECTIVENESS; DECISION MAKING; ELECTRIC POTENTIAL; GROUNDWATER RESOURCES; NITRIFICATION; OPTIMIZATION; RECHARGING (UNDERGROUND WATERS); REDOX REACTIONS; WASTEWATER RECLAMATION; WASTEWATER TREATMENT;

CONTACT AERATION PROCESS;

NEURAL NETWORKS;

EID: 0041509130     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0952-1976(03)00056-3     Document Type: Article

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