Data processing: artificial intelligence – Neural network – Learning method
Reexamination Certificate
2006-07-04
2006-07-04
Davis, George (Department: 2129)
Data processing: artificial intelligence
Neural network
Learning method
Reexamination Certificate
active
07072874
ABSTRACT:
An artificial neural network is disclosed that processes holography generated characteristic patterns of vibrating structures along with finite-element models. The present invention provides for a folding operation for conditioning training sets for optimally training forward-neural networks to process characteristic fringe patterns. The folding pattern increases the sensitivity of the feed-forward network for detecting changes in the characteristic pattern. The folding routine manipulates input pixels so as to be scaled according to the location in an intensity range rather than the position in the characteristic pattern.
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Davis George
McMahon John P
Stone Kent N.
The United States of America as represented by the Administrator
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