Patent
1995-05-17
1997-04-22
Hafiz, Tariq R.
395 21, G06E 100, G06E 300, G06F 1518
Patent
active
056235798
ABSTRACT:
A method for spectral signature interpretation. The method includes the creation of a mathematical model of a system or process. A neural network training set is then developed based upon the mathematical model. The neural network training set is developed by using the mathematical model to generate measurable phenomena of the system or process based upon model input parameter that correspond to the physical condition of the system or process. The neural network training set is then used to adjust internal parameters of a neural network. The physical condition of an actual system or process represented by the mathematical model is then monitored by extracting spectral features from measured spectra of the actual process or system. The spectral features are then input into said neural network to determine the physical condition of the system or process represented by the mathematical. More specifically, the neural network correlates the spectral features (i.e. measurable phenomena) of the actual process or system with the corresponding model input parameters. The model input parameters relate to specific components of the system or process, and, consequently, correspond to the physical condition of the process or system.
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Damiano Brian
Wood Richard T.
Adams Harold W.
Hafiz Tariq R.
Martin Marietta Energy Systems Inc.
Pennington Edward A.
Spicer James M.
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