A neural-network approach to nonparametric and robust classification procedures

IEEE Transactions on Neural Networks

Volumn 8, Issue 2, 1997, Pages 288-298

  Voudouri Maniati, Evriclea ^a,b   Kurz, Ludwik ^a,c   Kowalski, John M ^c  

^a IEEE   (United States)

^b MANHATTAN COLLEGE   (United States)

^c POLYTECHNIC UNIVERSITY   (United States)

Author keywords

Neural network algorithms for nonlinear parameter estimation; Pattern classification of sampled data; Signal detection

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; ERRORS; LEARNING SYSTEMS; PARAMETER ESTIMATION; PATTERN RECOGNITION; PERFORMANCE; PROBABILITY; SIGNAL DETECTION; SIGNAL TO NOISE RATIO; STATISTICS;

NEURAL NETWORK ALGORITHMS; NONLINEAR PARAMETER ESTIMATION; PATTERN CLASSIFICATION OF SAMPLED DATA;

NEURAL NETWORKS;

EID: 0031095588     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.557667     Document Type: Article

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