| COMPUTER-GENERATED MULTICOMPONENT CALIBRATION DESIGNS FOR OPTIMAL ANALYSIS SAMPLE PREDICTIONS |
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| 引用本文： | KIMBERLY HITCHCOCK,JOHN H.KALIVAS,JON M.SUTTER. COMPUTER-GENERATED MULTICOMPONENT CALIBRATION DESIGNS FOR OPTIMAL ANALYSIS SAMPLE PREDICTIONS[J]. 地理学报(英文版), 1992, 0(2) |
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| 作者姓名： | KIMBERLY HITCHCOCK JOHN H.KALIVAS JON M.SUTTER |
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| 作者单位： | Department of Chemistry Idaho State University.Pocatello，ID 83209，U.S.A.，Department of Chemistry，Idaho State University.Pocatello，ID 83209，U.S.A.，Department of Chemistry，Idaho State University.Pocatello，ID 83209，U.S.A. |
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| 摘 要： | This paper utilizes variable step size generalized simulated annealing(VSGSA)to design multicomponentcalibration samples for spectroscopic data.VSGSA is an optimization procedure which is capable ofconverging to exact positions of global optima located on multidimensional continuous functions.On thebasis of analysis sample response vectors,optimally designed calibration concentration matrices areobtained assuming knowledge of components present.The complexity of response surfaces establishedby the optimization criteria is described.
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COMPUTER-GENERATED MULTICOMPONENT CALIBRATION DESIGNS FOR OPTIMAL ANALYSIS SAMPLE PREDICTIONS |
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| KIMBERLY HITCHCOCK,JOHN H.KALIVAS AND JON M.SUTTER. COMPUTER-GENERATED MULTICOMPONENT CALIBRATION DESIGNS FOR OPTIMAL ANALYSIS SAMPLE PREDICTIONS[J]. Journal of Geographical Sciences, 1992, 0(2) |
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| Authors: | KIMBERLY HITCHCOCK JOHN H.KALIVAS AND JON M.SUTTER |
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| Affiliation: | KIMBERLY HITCHCOCK,JOHN H.KALIVAS AND JON M.SUTTER Department of Chemistry,Idaho State University.Pocatello,ID,U.S.A. |
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| Abstract: | This paper utilizes variable step size generalized simulated annealing(VSGSA)to design multicomponent calibration samples for spectroscopic data.VSGSA is an optimization procedure which is capable of converging to exact positions of global optima located on multidimensional continuous functions.On the basis of analysis sample response vectors,optimally designed calibration concentration matrices are obtained assuming knowledge of components present.The complexity of response surfaces established by the optimization criteria is described. |
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| Keywords: | Optimization Calibration Simulated annealing Experimental design |
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