Modeling uncertainty analysis in flow and solute transport model using Adaptive Neuro Fuzzy Inference System and particle swarm optimization

KSCE Journal of Civil Engineering

Volumn 14, Issue 6, 2010, Pages 941-951

  Ch, Sudheer ^a   Mathur, Shashi ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Adaptive Neuro Fuzzy Inference System; contaminant modeling; ground water flow; particle swarm optimization; uncertainty

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; AQUIFER THICKNESS; COMMONLY USED; COMPLEX BEHAVIOR; COMPUTATIONAL BURDEN; CONTAMINANT MODELING; CONTAMINANT TRANSPORT; DISPERSIBILITIES; FLOW PROBLEMS; GEOLOGICAL PARAMETERS; GLOBAL OPTIMAL SOLUTIONS; GROUNDWATER SYSTEM; INPUT PARAMETER; MODELING UNCERTAINTIES; NEURAL-FUZZY MODEL; OBJECTIVE FUNCTIONS; OUTPUT PARAMETERS; PARTICLE SWARM; PARTICLE SWARM OPTIMIZATION TECHNIQUE; PSO ALGORITHMS; RELIABLE MEASUREMENT; SEEPAGE VELOCITY; SOLUTE TRANSPORT MODEL; STEADY UNIFORM FLOWS; TRANSMISSIVITY; UNCERTAINTY; VERTEX METHOD;

AQUIFERS; CONTAMINATION; FUZZY INFERENCE; FUZZY SYSTEMS; GROUNDWATER FLOW; GROUNDWATER POLLUTION; GROUNDWATER RESOURCES; HYDRAULICS; SEEPAGE; SOLUTE TRANSPORT; TWO DIMENSIONAL; UNCERTAINTY ANALYSIS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 78049464373     PISSN: 12267988     EISSN: 19763808     Source Type: Journal    
DOI: 10.1007/s12205-010-0865-2     Document Type: Article

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