DocumentCode :
1747768
Title :
Spectral analysis via supervised genetic search with application-specific mutations
Author :
Taylor, Janet ; Rowland, Jem J. ; Kell, Douglas B.
Author_Institution :
Dept. of Comput. Sci., Univ. of Wales, Aberystwyth, UK
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
481
Abstract :
We present a method in which a genetic algorithm is used to optimise an expression in order to provide a supervised method for interpretation of the infrared analytical spectra of complex biological samples. The aim is to produce a model that can predict the value of a measurand of interest, such as the concentration of a particular chemical constituent, from a complex infrared spectrum of biological material. The method we describe is in some ways analogous to genetic programming but it more readily allows the output expression to be constrained in complexity and permits its general form to be specified by the user, thereby enhancing its explanatory ability. The quasi-continuous properties of optical spectra are exploited by mutations that explore spectral regions adjacent to selected variables, and provide adaptive averaging of spectral regions so as to provide selective optimisation of the tradeoff between spectral resolution and signal-to-noise ratio
Keywords :
biology computing; genetic algorithms; infrared spectra; learning (artificial intelligence); spectrochemical analysis; spectroscopy computing; IR analytical spectra interpretation; adaptive averaging; application-specific mutations; chemical constituent concentration; complex biological sample; explanatory; expression optimisation; genetic algorithm; optical spectra; output expression; quasi-continuous properties; selective optimisation; signal-to-noise ratio; spectral analysis; spectral regions; spectral resolution; supervised genetic search; Algorithm design and analysis; Biological materials; Biological system modeling; Chemicals; Genetic algorithms; Infrared spectra; Optimization methods; Particle measurements; Predictive models; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location :
Seoul
Print_ISBN :
0-7803-6657-3
Type :
conf
DOI :
10.1109/CEC.2001.934430
Filename :
934430
Link To Document :
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