Neural network system using spectral analysis for...

Details Neural network system using spectral analysis for... Neural network system using spectral analysis for...

G - Physics

06

N

G06N 3/02 (2006.01) G06F 15/20 (1990.01)

Patent

CA 2088147

2088147 9202886 PCTABS00010 Apparatus and processes for recognizing and identifying materials. Characteristic spectra are obtained for the materials via spectroscopy techniques including nuclear magnetic resonance spectroscopy, infrared absorption analysis, x-ray analysis, mass spectroscopy and gas chromatography. Desired portions of the spectra may be selected and then placed in proper form and format for presentation to a number of input layer neurons in an offline neural network. The network is first trained according to a predetermined training process; it may then be employed to identify particular materials. Such apparatus and processes are particularly useful for recognizing and identifying organic compounds such as complex carbohydrates, whose spectra conventionally require a high level of training and many hours of hard work to identify, and are frequently indistinguishable from one another by human interpretation.

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