Comparison of different partial least-squares methods in quantitative structure-activity relationships

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@Article{Tang:2003:ACA,

• author = "Kailin Tang and Tonghua Li",
• title = "Comparison of different partial least-squares methods in quantitative structure-activity relationships",
• journal = "Analytica Chimica Acta",
• year = "2003",
• volume = "476",
• pages = "85--92",
• number = "1",
• abstract = "partial least-squares (PLS) is discussed. A new hybrid method combining PLS with GAGP, in which selection of variables, selection of functions and optimisation of parameters were carried at the same time without any foreknowledge, was studied. A number of PLS algorithms (linear PLS, QPLS, SPL-PLS, NPLSNGA) that have appeared were compared from a theoretical viewpoint. Eight practical results with all the compared methods indicated that nonlinear models are better than linear model. In nonlinear methods, GAGP-PLS is significant.",
• owner = "wlangdon",
• URL = "http://www.sciencedirect.com/science/article/B6TF4-478B4KC-1/2/7ddb467dbe209747455621ebed20699f",
• keywords = "genetic algorithms, genetic programming, Partial least-squares, QSAR",
• DOI = "doi:10.1016/S0003-2670(02)01257-6",

}

Genetic Programming entries for Kailin Tang Tonghua Li

Citations