Tree-Structure based Hybrid Computational Intelligence

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Book{Chen:2010:book,
  author =       "Yuehui Chen and Ajith Abraham",
  title =        "Tree-Structure based Hybrid Computational
                 Intelligence",
  publisher =    "Springer",
  year =         "2010",
  volume =       "2",
  series =       "Intelligent Systems Reference Library",
  keywords =     "genetic algorithms, genetic programming, Computational
                 Intelligence, flexible neural trees, flexible neural
                 trees networks, neural networks",
  isbn13 =       "978-3-642-04738-1",
  URL =          "http://www.springer.com/engineering/book/978-3-642-04738-1",
  DOI =          "doi:10.1007/978-3-642-04739-8",
  abstract =     "Research in computational intelligence is directed
                 toward building thinking machines and improving our
                 understanding of intelligence. As evident, the ultimate
                 achievement in this field would be to mimic or exceed
                 human cognitive capabilities including reasoning,
                 recognition, creativity, emotions, understanding,
                 learning and so on. In this book, the authors
                 illustrate an hybrid computational intelligence
                 framework and it applications for various problem
                 solving tasks. Based on tree-structure based encoding
                 and the specific function operators, the models can be
                 flexibly constructed and evolved by using simple
                 computational intelligence techniques. The main idea
                 behind this model is the flexible neural tree, which is
                 very adaptive, accurate and efficient. Based on the
                 pre-defined instruction/operator sets, a flexible
                 neural tree model can be created and evolved.

                 This volume comprises of 6 chapters including an
                 introductory chapter giving the fundamental definitions
                 and the last Chapter provides some important research
                 challenges. Academics, scientists as well as engineers
                 engaged in research, development and application of
                 computational intelligence techniques and data mining
                 will find the comprehensive coverage of this book
                 invaluable.",
  notes =        "Theoretical Foundations and Applications ECGP, fuzzy,
                 iris dataset",
  size =         "210 pages",
}

Genetic Programming entries for Yuehui Chen Ajith Abraham

Citations