Tree-Structure based Hybrid Computational Intelligence

Abraham Ajith Chen Yuehui

ISBN 10: 3642261205 / ISBN 13: 9783642261206

Published by Springer, 2012

About this Item

Print on Demand pp. 222 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Seller Inventory # 11289630

Bibliographic Details

• Title: Tree-Structure based Hybrid Computational Intelligence
• Publisher: Springer
• Publication Date: 2012
• Language: English
• ISBN 10: 3642261205
• ISBN 13: 9783642261206
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.