Performance analysis of a wavelet-based hybrid neurosystem for signal classification

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 2825, Issue , 1996, Pages 982-991

  Nguyen, Chung T ^a   Gong, Kai F ^a  

^a NAVAL UNDERSEA WARFARE CENTER   (United States)

Author keywords

hybrid architecture; hybrid neurosystem; pattern recognition; signal classifications; wavelets

Indexed keywords

CLASSIFICATION ACCURACY; HYBRID ARCHITECTURES; HYBRID NETWORK; HYBRID NEURAL NETWORKS; HYBRID NEUROSYSTEM; KERNEL FUNCTION; LOCATION INFORMATION; NEUROSYSTEMS; NOISE CONDITIONS; OPTIMAL BASIS; PARALLEL ARRAYS; PATTERN RECOGNITION TECHNIQUES; PERFORMANCE ANALYSIS; SELF ORGANIZING; SIGNAL CLASSIFICATION; SIMULATED DATA; TOPOLOGICAL MAP; TRAINING ALGORITHMS; WAVELET TRANSFORM COEFFICIENTS; WAVELETS;

AD HOC NETWORKS; BACKPROPAGATION ALGORITHMS; DESIGN; IMAGE PROCESSING; IMAGING SYSTEMS; NETWORK ARCHITECTURE; NEURAL NETWORKS; TOPOLOGY; WAVELET TRANSFORMS;

FEATURE EXTRACTION;

EID: 78751626257     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.255220     Document Type: Conference Paper

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