Computational benefits using artificial intelligent methodologies for the solution of an environmental design problem: Saltwater intrusion

Water Science and Technology

Volumn 62, Issue 7, 2010, Pages 1479-1490

  Papadopoulou, Maria P ^a   Nikolos, Ioannis K ^b   Karatzas, George P ^b  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^b TECHNICAL UNIVERSITY OF CRETE   (Greece)

Author keywords

Artificial intelligence; Computational cost; Design; Differential evolution; Groundwater resources management; Neural networks; Saltwater intrusion; Surrogate model

Indexed keywords

ARTIFICIAL INTELLIGENT; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; COASTAL AQUIFERS; COMPUTATION TIME; COMPUTATIONAL COSTS; DAILY WATER DEMAND; DE ALGORITHMS; DE-OPTIMIZATION; DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION ALGORITHMS; ENVIRONMENTAL DESIGN; GROUNDWATER RESOURCES MANAGEMENT; LOCAL APPROXIMATION; NUMERICAL SIMULATION MODELS; OPTIMIZATION PROCEDURES; OPTIMIZATION SCHEME; PHYSICAL SYSTEMS; RADIAL BASIS FUNCTIONS; SEAWATER INTRUSION; SIMPLEX METHODS; SUBSURFACE WATERS; SURROGATE MODEL; WATER RESOURCES MANAGEMENT;

APPROXIMATION ALGORITHMS; AQUIFERS; BIOLOGY; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; DESIGN; DIFFERENTIAL EQUATIONS; DIFFERENTIATION (CALCULUS); EVOLUTIONARY ALGORITHMS; GROUNDWATER GEOCHEMISTRY; GROUNDWATER RESOURCES; NETWORK MANAGEMENT; OPTIMIZATION; RADIAL BASIS FUNCTION NETWORKS; SALT WATER INTRUSION; SEAWATER; SECURITY OF DATA; WATER POLLUTION; WATER QUALITY;

NEURAL NETWORKS;

SEA WATER; SURFACE WATER;

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; GROUNDWATER RESOURCE; OPTIMIZATION; SALINE INTRUSION; SUBSURFACE FLOW; SURROGATE METHOD; WATER DEMAND; WATER FLOW; WATER QUALITY;

ALGORITHM; AQUIFER; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; ENVIRONMENTAL MONITORING; FINITE ELEMENT ANALYSIS; METHODOLOGY; PROCESS MODEL; RADIAL BASIS FUNCTION ARTIFICIAL NEURAL NETWORK; SEASHORE; SIMULATION; WATER MANAGEMENT; WATER QUALITY; WATER SUPPLY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; GEOGRAPHY; GREECE; MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); SEAWATER; WATER SUPPLY;

CRETE; GREECE; IRAKLION [CRETE];

EID: 78649666866     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2010.442     Document Type: Article

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