Carbon Potential Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Xiaoli Ma and Guifa Teng and Mengjie Zhang",
  title =        "Carbon Potential Using Genetic Programming",
  journal =      "Control and Automation",
  year =         "2007",
  volume =       "23",
  number =       "9",
  pages =        "239--241",
  keywords =     "genetic algorithms, genetic programming, carbon
                 potential, symbolic regression, Correlation
  ISSN =         "1008-0570",
  broken =       "doggy
  abstract =     "This article describes the principle and technology of
                 genetic programming. We propose a new approach to the
                 use of genetic programming for Carbon potential
                 problems. This approach does not rely on the problem
                 domain, and does not need data preprocessing either. It
                 can be used as a general method of solving related
                 problems. This approach is of high-accuracy, and
                 low-cost, and is suitable for online testing and
                 controlling of Carbon Potential. In addition, it can
                 produce visible function expressions, and deal with
                 complex nonlinear problems.",
  notes =        "

                 College of Information Science and Technology
                 Agricultural University of Hebei, 071001, China;

                 School of Mathematics, Statistics and Computer Science,
                 Victoria University of Wellington, New Zealand",

Genetic Programming entries for Xiaoli Ma Guifa Teng Mengjie Zhang