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Tree-Structure based Hybrid Computational Intelligence: Theoretical Foundations and Applications: 2 (Intelligent Systems Reference Library, 2) - Hardcover
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.
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Review
From the reviews:
“The book puts forward a hierarchical hybrid computational intelligence framework, in which models of a hierarchical structure and appropriate types of function operators are created and optimized by means of computational intelligence techniques. ... The book is both informative and stimulating and thus becomes an interesting and valuable source.” (Ruxandra Stoean, Zentralblatt MATH, Vol. 1195, 2010)"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2009
- ISBN 10 3642047386
- ISBN 13 9783642047381
- BindingHardcover
- LanguageEnglish
- Number of pages220
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Tree-Structure based Hybrid Computational Intelligence: Theoretical Foundations and Applications (Intelligent Systems Reference Library, 2)
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Tree-Structure based Hybrid Computational Intelligence
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covering the new field of Flexible Neural Trees Networks in a well structured wayThe state of the art of Flexible Neural Trees networks for researchers and graduate studentsResearch in computational intelligence is directed toward build. Seller Inventory # 5044405
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 206 pp. Englisch. Seller Inventory # 9783642047381
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Tree-Structure based Hybrid Computational Intelligence : Theoretical Foundations and Applications
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783642047381
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