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A Novel Algorithm for Fitting Analytical Signals──an Immune Algorithm

Shao Xueguang; Chen Zonghai; Lin Xiangqin (Department of Chemistry, University of Science and Technology of China, Hefei 230026)  
A novel immune algorithm for fitting analytical signals was proposed by imitating the mechanism of the immune system, and application of the algorithm to the resolution of overlapping chromatograms was investigated. The method takes an overlapping chromtogram as its input and iteratively subtract the estimated chromatographic information of every cpmponent from the input until the residual does not change. Both simulated and experimental data sets were investigated by the method. It was proved that the method is a convenient tool for resolution of overlapping chromatograms.
【Fund】: 国家自然科学基金!29975027
【CateGory Index】: O65
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