Genetically adaptive neural network classification systems...

Data processing: artificial intelligence – Neural network – Learning method

Reexamination Certificate

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C706S020000, C706S045000

Reexamination Certificate

active

10652542

ABSTRACT:
Genetically adaptive neural network systems and methods provide environmentally adaptable classification algorithms for use, among other things, in multi-static active sonar classification. Classification training occurs in-situ with data acquired at the onset of data collection to improve the classification of sonar energy detections in difficult littoral environments. Accordingly, in-situ training sets are developed while the training process is supervised and refined. Candidate weights vectors evolve through genetic-based search procedures, and the fitness of candidate weight vectors is evaluated. Feature vectors of interest may be classified using multiple neural networks and statistical averaging techniques to provide accurate and reliable signal classification.

REFERENCES:
patent: 5581657 (1996-12-01), Lyon
patent: 5781698 (1998-07-01), Teller et al.
patent: 5845237 (1998-12-01), Puel et al.
patent: 5933818 (1999-08-01), Kasravi et al.
patent: 6272479 (2001-08-01), Farry et al.
patent: 6601053 (2003-07-01), Schaffer et al.
patent: 6658396 (2003-12-01), Tang et al.
patent: 2003/0088458 (2003-05-01), Afeyan et al.
patent: 2004/0242972 (2004-12-01), Adak et al.
Tagliaferri et al, “Hybrid Neural Networks for Frequency Estimation of Unevenly Sampled Data”, IEEE IJCNN, Jul. 1999.
Hancock, Pruning Neural Nets by Genetic Algorithm, Centre for Cognitive Computational Neuroscience, 1992, Departments of Psychology and Computing Science, University of Stirling, Stirling FK9 4LA, Scotlnd, UK, pp. 1-4.

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