A hybrid neural network system for pattern classification tasks with missing features

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 27, Issue 4, 2005, Pages 648-653

  Lim, Chee Peng ^a   Leong, Jenn Hwai ^a   Kuan, Mei Ming ^a  

^a SCHOOL OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

Fuzzy ARTMAP; Fuzzy c Means clustering; Missing data; Pattern classification

Indexed keywords

ALGORITHMS; DATA REDUCTION; FUZZY SETS; NEURAL NETWORKS; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; SPURIOUS SIGNAL NOISE;

FUZZY ARTMAP; FUZZY C-MEANS CLUSTERING; HYBRID NEURAL NETWORKS; MISSING DATA;

PATTERN RECOGNITION;

ACUTE DISEASE; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; CORONARY ARTERY DISEASE; DECISION SUPPORT SYSTEM; DIABETES MELLITUS; EVALUATION; FUZZY LOGIC; HUMAN; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SYNDROME; VALIDATION STUDY;

ACUTE DISEASE; ALGORITHMS; CORONARY DISEASE; DECISION SUPPORT SYSTEMS, CLINICAL; DIABETES MELLITUS; DIAGNOSIS, COMPUTER-ASSISTED; FUZZY LOGIC; HUMANS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SYNDROME;

EID: 17144402563     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2005.64     Document Type: Article

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