The Use of Intelligent Algorithms in Multispectral UV Analysis
نویسندگان
چکیده
M. W. Trahan, J. S. Wagner, I. R. Shokair, G. C. Tisone, P. C. Gray Sandia National Laboratories Albuquerque, NM 87185 Abstract Intelligent algorithms have been used to estimate the concentrations of individual components in complex mixtures scanned by a multispectral UV laser remote-sensing system. The data was acquired during the Kitfox test series at the 1.4 km site on Frenchman Flats at the Nevada Test Site during June, 1996. One-, two-, and fourcomponent gas releases of Benzene, m-Xylene, p-Xylene, and Toluene were analyzed. The analysis utilized two intelligent algorithms: the Multivariate Patch Algorithm (MPA) with genetically-designed patches and geneticallydesigned Neural Nets (NN).
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