KEDRI - Neuro-Fuzzy Techniques for Intelligent Information Systems (Studies in Fuzziness and Soft Computing, Vol. 30)

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Neuro-Fuzzy Techniques for Intelligent Information Systems (Studies in Fuzziness and Soft Computing, Vol. 30)

By Nikola Kasabov (editor), Robert Kozma (editor)

Neuro-Fuzzy Techniques for Intelligent Information Systems book coverHardcover: 449 pages
Publisher: Springer-Verlag Telos (June 1999)
Language: English
ISBN-10: 3790811874
ISBN-13: 978-3790811872
Product Dimensions: 9.5 x 6.8 x 1 inches
Amazon.com page

This volume comprises selected chapters that cover contemporary issues of the development and the application of neuro-fuzzy techniques. Developing and using neural networks, fuzzy logic systems, genetic algorithms and statistical methods as separate techniques, or in their combination, have been research topics in several areas such as mathematics, engineering, computer science, physics, economics and finance. Here the latest results in the fields are presented from both theoretical and practical point of view. The volume has four main parts. Part one presents generic techniques and theoretical issues while part two, three and four deal with practically oriented models, systems and implementations.

Part 1. Generic Neuro-Fuzzy and Hybrid Techniques

Analysis and Modeling of Complex Systems Using the Self-Organizing Map
(Olli Simula, Juha Vesanto, Esa Alhoiemi and Jaakko Hollmen)
Fuzzy Methods for Learning from Data (Vladimir Cherkassky)
Uneven Allocation of Membership Functions for Fuzzy Modeling of Multi-Iput System (Kanta Tachibaa and Takeshi Furuhashi)
Fuzzy Equivalence Relations and Fuzzy Partitions (Berd Reusch)
Identifying Fuzzy Rule-Based Models Utilizing Neural Networks, Fuzzy Logic and Genetic Algorithms (Andreas Bastian)
Neuro-Genetic Information Processing for Optimisation and Adaptation in Intelligent Systems (Michael Watts and Nikola Kasabov) Evolving Connectionist and Fuzzy-Connectioist Systems: Theory and Applications for Adaptive, O-line Itelligent systems (Nikola Kasanbov)

Part 2. Neuro-Fuzzy Systems for Pattern Recognition, Image, Speech- and Laguage Processing

Connectionist Approaches for Feature Analysis (Nikhil R. Pal)
Patter Classification ad Feature Selectio by Ellipsoidal Fuzzy Rules (Shigeo Abe)
Printed Chinese Optical Character recognition by Neural Network (Youshio Wu and Mingsheg Zhao)
Image Processing by Chaotic Neural Network (Harold Szu)
Fuzzy Membership Functions (Charles Hsu)
Fuzzy Learing Machine with Application to the Detection of Landmarks for Orthodontic Treatment (Eiji Uchino and Takeshi Yamakawa)
Speech Data Analysis and Recognition Using Fuzzy Neural Networks and Self-Organizing Maps (N. Kasabov, R. Kozma, R. Kilgour, M. Laws, M. Watts, A. Gary and J. Taylor)
Connectionist Methods for Stylometric Analysis: A Hybrid Approach (Diana Kassabova and Philip Sallis) 

Part 3. Neuro-Fuzzy Systems for Information Retrieval and Socio-Economic Applications

Soft Information Retrieval: Applications of Fuzzy Theory and Neural Networks (Fabio Crestani and Gabriella Pasi)
Modeling Consensus in Group Decision Making: a Fuzzy Dynamical Approach (Mario Fedrizzi, Michele Fedrizzi and R.A. Marques Pereria)
Building Fuzzy Expert Systems (Michael Negnevitsky)
A Neural Network for Fuzzy Dynamic Programming ad Its Use in Socio-Economic Regional Development Planning (Jausz Kapcprzyk, Roseli A. Francelin and Ferrando A.C. Gomide)
Investment Maps for Emerging Markets (Guido J. Deboeck)
Adaptive Fuzzy-Impedance Controller for Cosntrained Robot Motion (Petar B. Petrovic)

Part 4. Specialised Hardware for Neuro-Fuzzy Intelligent System

Specialisd Hardware for Computaional Intelligence (George Coghill)
Evoluable Hardware - the coming Hardware Design Method? (Jim Torresen)


Last updated: 02 Dec 2011 10:07am

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