Estimation of the Change in Lake Water Level by Artificial Intelligence Methods

Water Resources Management

Volumn 28, Issue 13, 2014, Pages 4747-4763

  Buyukyildiz, Meral ^a   Tezel, Gulay ^a   Yilmaz, Volkan ^a  

^a SELCUK UNIVERSITY   (Turkey)

Author keywords

Adaptive network based fuzzy inference system; Artificial neural networks; Lake Beysehir; Particle swarm optimization; Support vector regression; Water level

Indexed keywords

ERRORS; FUZZY INFERENCE; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; LAKES; MEAN SQUARE ERROR; NETWORK LAYERS; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); SUPPORT VECTOR REGRESSION; WATER LEVELS;

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; ARTIFICIAL INTELLIGENCE METHODS; COEFFICIENT OF DETERMINATION; LAKE BEYSEHIR; RADIAL BASIS NEURAL NETWORKS; ROOT MEAN SQUARE ERRORS; SUPPORT VECTOR REGRESSION (SVR); WATER LEVEL CHANGES;

MULTILAYER NEURAL NETWORKS;

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; FUZZY MATHEMATICS; INFLOW; LAKE WATER; NUMERICAL MODEL; OPTIMIZATION; REGRESSION ANALYSIS; WATER LEVEL;

BEYSEHIR LAKE; TURKEY;

EID: 85027939411     PISSN: 09204741     EISSN: 15731650     Source Type: Journal    
DOI: 10.1007/s11269-014-0773-1     Document Type: Article

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