Fuzzy support vector machines for adaptive Morse code recognition

Medical Engineering and Physics

Volumn 28, Issue 9, 2006, Pages 925-931

  Yang, Cheng Hong ^a   Jin, Li Cheng ^a   Chuang, Li Yeh ^b  

^a NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

^b I SHOU UNIVERSITY   (Taiwan)

Author keywords

Fuzzy theory; Least mean square algorithm; Morse code; Support vector machines

Indexed keywords

LEAST-MEAN-SQUARE ALGORITHM; MORSE CODE; SUPPORT VECTOR MACHINES;

CONTROL SYSTEMS; FUNCTIONS; FUZZY CONTROL; LEAST SQUARES APPROXIMATIONS; PATIENT REHABILITATION; STATISTICAL METHODS;

ADAPTIVE SYSTEMS;

ALGORITHM; ARTICLE; ASSISTIVE TECHNOLOGY; CEREBRAL PALSY; COMMUNICATION AID; DECISION MAKING; DISABILITY; HUMAN; INTERPERSONAL COMMUNICATION; MORSE CODE; MUSCLE ATROPHY; PRIORITY JOURNAL; RECOGNITION; TECHNICAL AID; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMMUNICATION AIDS FOR DISABLED; FUZZY LOGIC; HUMANS; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; RECOGNITION (PSYCHOLOGY); SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; USER-COMPUTER INTERFACE; WORD PROCESSING;

EID: 33747777815     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.medengphy.2005.12.007     Document Type: Article

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