Multi-aspect pattern classification using predictive networks and error mapping

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2002, Pages 1842-1847

  Salazar, Jaime ^a   Robinson, Marc ^a   Azimi Sadjadi, Mahmood R ^a  

^a Department of Mechanical Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC WAVE BACKSCATTERING; ERROR ANALYSIS; MARKOV PROCESSES; MATHEMATICAL MODELS; NEURAL NETWORKS; PROBABILITY; UNDERWATER PROBING; VECTORS;

DECISION FEEDBACK MECHANISM; ERROR MAPPING; PREDICTIVE NETWORKS;

PATTERN RECOGNITION;

EID: 0036088053     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Underwater target classification using wavelet packets and neural networks
2. Dual hidden Markov model characterization of wavelet coefficients from multi-aspect scattering data
3. Adaptive underwater target classification with multi-aspect decision feedback
4. Gauss-newton approximation to Bayesian regularization
5. Bayesian interpolation