Method and apparatus for randomized verification of neural nets

Data processing: artificial intelligence – Neural network – Learning task

Reexamination Certificate

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Reexamination Certificate

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07937343

ABSTRACT:
Described are techniques for using statistical analysis to reduce the number of samples required in accordance with statistical analysis confidence intervals to verify correctness of a component. These techniques may be used in verification of a neural network or other hardware or software component.

REFERENCES:
patent: 6035295 (2000-03-01), Klein
patent: 6473746 (2002-10-01), Zakrzewski
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Radoslaw Romuald Zakrzewski, Verification of a Trained Neural Network Accuracy, 2001, IEEE.

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