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.
Author(s): M. Gh. Negoita (auth.), Professor Mircea Gh. Negoita, Professor Bernd Reusch (eds.)
Series: Studies in Fuzziness and Soft Computing 179
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2005
Language: English
Pages: 296
City: Berlin; New York
Tags: Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Applications of Mathematics; Bioinformatics
Basics of Engineering the Hybrid Intelligent Systems – Not Only Industrial Applications....Pages 1-48
Basics of Machine Learning by Support Vector Machines....Pages 49-103
Supporting Deep Learning in an Open-ended Domain....Pages 105-152
Data Driven Fuzzy Modelling with Neural Networks....Pages 153-164
Hybrid Computational Intelligence Systems for Real World Applications....Pages 165-195
Autonomous Mobile Robots – From Science Fiction to Reality....Pages 197-219
Rough Set Theory with Applications to Data Mining....Pages 221-244
Bioinformatics with Evolutionary Computation....Pages 245-281
Maximization of Combustion Efficiency: A Data Mining Approach....Pages 283-295
