Real World Applications of Computational Intelligence / Edition 1

Real World Applications of Computational Intelligence / Edition 1

by Mircea Gh. Negoita
     
 

ISBN-10: 3540250069

ISBN-13: 9783540250067

Pub. Date: 06/22/2005

Publisher: Springer Berlin Heidelberg

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

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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.

Product Details

ISBN-13:
9783540250067
Publisher:
Springer Berlin Heidelberg
Publication date:
06/22/2005
Series:
Studies in Fuzziness and Soft Computing Series, #179
Edition description:
2005
Pages:
296
Product dimensions:
6.20(w) x 9.40(h) x 0.70(d)

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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