Tree-Structure based Hybrid Computational Intelligence Theoretical Foundations and Applications /

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, un...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Chen, Yuehui (Συγγραφέας), Abraham, Ajith (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Σειρά:Intelligent Systems Reference Library, 2
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Chen, Yuehui.  |e author. 
245 1 0 |a Tree-Structure based Hybrid Computational Intelligence  |h [electronic resource] :  |b Theoretical Foundations and Applications /  |c by Yuehui Chen, Ajith Abraham. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2010. 
300 |a XIV, 206 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Intelligent Systems Reference Library,  |x 1868-4394 ;  |v 2 
505 0 |a 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. 
520 |a 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. 
650 0 |a Computer science. 
650 0 |a Artificial intelligence. 
650 0 |a Computational intelligence. 
650 1 4 |a Computer Science. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Computational Intelligence. 
700 1 |a Abraham, Ajith.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642047381 
830 0 |a Intelligent Systems Reference Library,  |x 1868-4394 ;  |v 2 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-04739-8  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)