Robust support vector machine-trained fuzzy system

Neural Networks

Volumn 50, Issue , 2014, Pages 154-165

  Forghani, Yahya ^a,b   Yazdi, Hadi Sadoghi ^a  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Classification; Fuzzy system; Robust SVM; Rule

Indexed keywords

CLASSIFICATION (OF INFORMATION); FUZZY RULES; FUZZY SYSTEMS; SPEECH RECOGNITION;

MISCLASSIFICATION RATES; ROBUST SVM; RULE; SUBTRACTIVE CLUSTERING; SUPPORT VECTOR LEARNING; SVM(SUPPORT VECTOR MACHINE); T-S-TYPE FUZZY SYSTEMS; TRAINING AND TESTING;

SUPPORT VECTOR MACHINES;

ARTICLE; BATCH SUPPORT VECTOR MACHINE TRAINED FUZZY CLASSIFIER; CLASSIFICATION; CONTROLLED STUDY; DATA ANALYSIS; DATA PROCESSING; FUZZY SYSTEM; HUMAN; INCREMENTAL SUPPORT VECTOR MACHINE TRAINED FUZZY CLASSIFIER; INTERMETHOD COMPARISON; PRIORITY JOURNAL; ROBUST SUPPORT VECTOR MACHINE; SELF ORGANIZING TS TYPE FUZZY NETWORK WITH SUPPORT VECTOR LEARNING; STATISTICAL ANALYSIS; SUBTRACTIVE CLUSTERING FOR ANTECEDENT PARAMETER TUNING; SUPPORT VECTOR MACHINE;

CLASSIFICATION; FUZZY SYSTEM; ROBUST SVM; RULE;

ALGORITHMS; FUZZY LOGIC; HUMANS; LEARNING; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); SUPPORT VECTOR MACHINES; TIME FACTORS;

EID: 84889686436     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2013.11.013     Document Type: Article

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