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

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@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