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作 者:Mauro Fernandi Massimo Baroni Matteo Bazzurri Paolo Benedetti Danilo Chiocchini Diego Decastri Cynthia Ebert Lucia Gardossi Giuseppe Marco Randazzo Sergio Clementi
机构地区:[1]Flint Group, Cinisello Balsamo, Milano, Italy [2]Biology, Biotechnology and Chemistry Department, Section Chemistry, University of Perugia, Perugia, Italy [3]M.I.A. Multivariate Infometric Analysis Srl, Perugia, Italy [4]Department of Chemistry and Pharmaceutical Sciences, University of Trieste, Trieste, Italy
出 处:《Applied Mathematics》2015年第11期1947-1956,共10页应用数学(英文)
摘 要:The paper illustrates innovative ways of using the CARSO (Computer Aided Response Surface Optimization) procedure for response surfaces analyses derived by DCM4 experimental designs in multivariate spaces. Within this method, we show a new feature for optimization studies: the results of comparing their quadratic and linear models for discussing the best way to compute the most reliable predictions of future compounds.The paper illustrates innovative ways of using the CARSO (Computer Aided Response Surface Optimization) procedure for response surfaces analyses derived by DCM4 experimental designs in multivariate spaces. Within this method, we show a new feature for optimization studies: the results of comparing their quadratic and linear models for discussing the best way to compute the most reliable predictions of future compounds.
关 键 词:CARSO PROCEDURE Design STRATEGIES Double CIRCULATING MATRICES (DCMs) OPTIMIZATION
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