A hybrid genetic algorithm-adaptive network-based fuzzy inference system in prediction of wave parameters

Engineering Applications of Artificial Intelligence

Volumn 22, Issue 8, 2009, Pages 1194-1202

  Zanaganeh, Morteza ^a   Mousavi, S Jamshid ^b   Etemad Shahidi, Amir Farshad ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

ANFIS; Fuzzy inference systems; Genetic algorithms; Subtractive clustering; Wave prediction

Indexed keywords

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; ADAPTIVE NETWORKS; ANFIS; ANFIS MODEL; ARTIFICIAL NEURAL NET; DATA SETS; FUZZY IF-THEN RULES; FUZZY INFERENCE SYSTEMS; HYBRID GENETIC ALGORITHMS; INPUT-OUTPUT DATA; LAKE MICHIGAN; PREDICTION ACCURACY; RULE BASE; SUBTRACTIVE CLUSTERING; SYSTEM IDENTIFICATION PROBLEMS; TESTING DATA; TRAINING SETS; WAVE PARAMETERS; WAVE PREDICTION;

ADAPTIVE ALGORITHMS; CLUSTER ANALYSIS; FUZZY INFERENCE; FUZZY RULES; FUZZY SYSTEMS; GENETIC ALGORITHMS; SET THEORY; SHORE PROTECTION; STATISTICAL TESTS;

CLUSTERING ALGORITHMS;

EID: 70350772525     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2009.04.009     Document Type: Article

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