Real World Applications of Computational Intelligence
Author:   Mircea Gh. Negoita ,  Bernd Reusch
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2005 ed.
Volume:   179
ISBN:  

9783642426483


Pages:   296
Publication Date:   06 December 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Real World Applications of Computational Intelligence


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Overview

Computational Intelligence (CI) has emerged as a novel and highly diversified paradigm supporting the design, analysis and deployment of intelligent systems. This book presents a careful selection of the field that very well reflects the breadth of the discipline. It covers a range of highly relevant and practical design principles governing the development of intelligent systems in data mining, robotics, bioinformatics, and intelligent tutoring systems. The lucid presentations, coherent organization, breadth and the authoritative coverage of the area make the book highly attractive for everybody interested in the design and analysis of intelligent systems.

Full Product Details

Author:   Mircea Gh. Negoita ,  Bernd Reusch
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2005 ed.
Volume:   179
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.486kg
ISBN:  

9783642426483


ISBN 10:   3642426484
Pages:   296
Publication Date:   06 December 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Part I : NZ – German School of Computational Intelligence at KES2004.- Basics of Engineering The Intelligent Hybrid Systems - Not Industrial Applications Only.- Basics of Machine Learning by Support Vector Machines.- Supporting Deep Learning in an Open-ended Domain.- Data Driven Fuzzy Modelling with Neural Networks.- Hybrid Computational Intelligence Systems for Real World Applications.- Autonomous Intelligent Systems – from Sci-Fi to Reality.- Part II - Selected KES2004 Conference Tutorials.- Introduction to Rough Set Theory and Applications.- Bioinformatics with Evolutionary Computation.- Data Mining; Algorithms and Applications.

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