- 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",
