Genetic Programming-Based Approach for System Identification Applying Genetic Programming to obtain Separation

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@InProceedings{WSEAS_640_Aguilar,
  author =       "Jose Aguilar and Mariela Cerrada",
  title =        "Genetic Programming-Based Approach for System
                 Identification Applying Genetic Programming to obtain
                 Separation",
  address =      "Puerto De La Cruz, Tenerife, Spain",
  year =         "2001",
  booktitle =    "WSES International Conferences WSEAS NNA-FSFS-EC
                 2001",
  editor =       "Nikos E. Mastorakis",
  pages =        "6401--6406",
  month =        feb # " 11-15",
  organisation = "The World Scientific and Engineering Academy and
                 Society (WSEAS)",
  keywords =     "genetic algorithms, genetic programming, Genetic
                 Programming, Evolutionary Computation, Identification
                 Systems",
  URL =          "http://www.wseas.us/e-library/conferences/tenerife2001/papers/640.pdf",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.611.1267",
  size =         "6 pages",
  abstract =     "In this work, an approach based on Genetic Programming
                 is proposed for the input-output systems identification
                 problem. Laguerre's functions and the ARX method have
                 been commonly used to solve the systems identification
                 problem. Recently, approaches based on Artificial
                 Neural Networks have been used to solve this problem.
                 Genetic Programming is an Evolutionary Computation
                 technique based on the evolution of mathematical
                 symbols (constants, functions, variables, operators,
                 etc.). To achieve the identification, a set of analysis
                 trees is used to describe the different models
                 (individuals) that our approach proposes during its
                 execution. At the end of the evolutionary process, an
                 input-output model of the system is proposed by our
                 approach (it is the best individual).",
  notes =        "paper ID number 640
                 http://www.wseas.us/e-library/conferences/tenerife2001/index.htm

                 ",
}

Genetic Programming entries for Jose Lisandro Aguilar Castro Mariela Cerrada

Citations