Evaluating the performance of artificial intelligence methods for estimation of monthly mean soil temperature without using meteorological data

Environmental Earth Sciences

Volumn 76, Issue 8, 2017, Pages

  Mehdizadeh, Saeid ^a   Behmanesh, Javad ^a   Khalili, Keivan ^a  

^a URMIA UNIVERSITY   (Iran)

Author keywords

Adaptive neuro fuzzy inference system; Artificial neural networks; Gene expression programming; Soil temperature

Indexed keywords

ATMOSPHERIC TEMPERATURE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; GENE EXPRESSION; GENES; METEOROLOGY; NEURAL NETWORKS; SOILS; TEMPERATURE; TRACKING (POSITION);

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ARTIFICIAL INTELLIGENCE METHODS; GENE EXPRESSION PROGRAMMING; GEOGRAPHICAL INFORMATION; METEOROLOGICAL DATA; SOIL TEMPERATURE; SOIL TEMPERATURE DATA; TRAINING AND TESTING;

FUZZY INFERENCE;

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; FUZZY MATHEMATICS; GENE EXPRESSION; NUMERICAL METHOD; PERIODICITY; SOIL TEMPERATURE;

IRAN;

EID: 85018781937     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-017-6607-8     Document Type: Article

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