System and method for resolving gamma-ray spectra

Data processing: artificial intelligence – Neural network – Learning task

Reexamination Certificate

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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

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