Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations

Computers and Geosciences

Volumn 37, Issue 10, 2011, Pages 1692-1701

  Shiri, Jalal ^a   Kişi, Özgur ^b  

^a UNIVERSITY OF TABRIZ   (Iran)

^b ERCIYES UNIVERSITY   (Turkey)

Author keywords

Forecast; Genetic programming; Groundwater depth fluctuation; Neuro fuzzy

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS MODEL; COEFFICIENT OF DETERMINATION; EXPLICIT EXPRESSIONS; FORECAST; NEURO-FUZZY; NEUROFUZZY SYSTEM; ROOT MEAN SQUARE ERRORS; SCATTER INDEX; WATER TABLE DEPTHS;

FORECASTING; FUZZY INFERENCE; FUZZY SYSTEMS; GROUNDWATER; GROUNDWATER RESOURCES;

GENETIC PROGRAMMING;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; ERROR ANALYSIS; FORECASTING METHOD; FUZZY MATHEMATICS; GEOSTATISTICS; GROUNDWATER; VARIANCE ANALYSIS; WATER DEPTH; WATER TABLE;

EID: 80052542665     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2010.11.010     Document Type: Article

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