Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2011-01-25
2011-01-25
Holmes, Michael B. (Department: 2129)
Data processing: artificial intelligence
Neural network
Learning task
C250S394000
Reexamination Certificate
active
07877340
ABSTRACT:
A system for identifying radionuclide emissions is described. The system includes at least one processor for processing output signals from a radionuclide detecting device, at least one training algorithm run by the at least one processor for analyzing data derived from at least one set of known sample data from the output signals, at least one classification algorithm derived from the training algorithm for classifying unknown sample data, wherein the at least one training algorithm analyzes the at least one sample data set to derive at least one rule used by said classification algorithm for identifying at least one radionuclide emission detected by the detecting device.
REFERENCES:
patent: 4862004 (1989-08-01), Koike et al.
patent: 5602886 (1997-02-01), Gross et al.
patent: 7485877 (2009-02-01), Kearfott
patent: 2006/0284094 (2006-12-01), Inbar
Davis William M.
Gentile Charles A.
Langish Stephen W.
Mastrovito Dana
Perry Jason
Drinker Biddle & Reath LLP
Gonzales Vincent M
Holmes Michael B.
Princeton University
LandOfFree
System and method for resolving gamma-ray spectra does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with System and method for resolving gamma-ray spectra, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for resolving gamma-ray spectra will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2672749