Tree-Structure based Hybrid Computational Intelligence

Theoretical Foundations and Applications
1. Auflage 2009
ISBN: 978-3-642-04738-1
Verlag: Springer

Buch, Englisch, Band 2, 206 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1090 g

Reihe: Intelligent Systems Reference Library

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.

Zielgruppe

Research

Autoren/Hrsg.

Chen, Yuehui

Abraham, Ajith

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Foundations of Computational Intelligence.- Foundations of Computational Intelligence.- Flexible Neural Trees.- Flexible Neural Tree: Foundations and Applications.- Hierarchical Neural Networks.- Hierarchical Neural Networks.- Hierarchical Fuzzy Systems.- Hierarchical Fuzzy Systems.- Reverse Engineering of Dynamical Systems.- Reverse Engineering of Dynamic Systems.- Conclusions and Future Research.- Concluding Remarks and Further Research.