Interpretation of fluorescence fingerprints of crude oils and ot

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378 45, 250372, 395929, G01T 136

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active

054249597

ABSTRACT:
An artificial intelligence system is used with a conglomeration of fluorescence data to provide a method of improving recognition of an unknown from its spectral pattern. Customized neural network systems allow the ultimate organization and resourceful use of assumption-free variables already existing in a total scanning fluorescence database for a much more comprehensive, discrete and accurate differentiation and matching of spectra than is possible with human memory. The invention provides increased speed of fingerprinting analysis, accuracy and reliability together with a decreased learning curve and heightened objectivity for the analysis.

REFERENCES:
patent: 3394139 (1976-01-01), Ohata et al.
patent: 4877583 (1989-10-01), Miwa et al.
Geophysics: the leading edge of exploration, Round Table, "Waveform recognition using neural networks", Palaz et al., Mar. 1990, pp. 28-31.

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