Genetically adaptive neural network classification systems...

Details Genetically adaptive neural network classification systems... Genetically adaptive neural network classification systems...

2008-01-29

2008-01-29

Starks, Jr., Wilbert L (Department: 2129)

Data processing: artificial intelligence

Neural network

Learning method

C706S020000, C706S045000

Reexamination Certificate

active

07324979

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.

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