Advances in Computational Intelligence and Learning

by Zimmermann, Hans-Jurgen; Tselentis, Georgios; Van Someren, Maarten; Dounias, Georgios

• ISBN13: 9780792376453
• ISBN10: 0792376455
• eBook ISBN(s): 9789401003247
• Format: Hardcover
• Copyright: 2002-02-01
• Publisher: Kluwer Academic Pub
• More Book Details
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Summary

Advances in Computational Intelligence and Learning: Methods and Applications presents new developments and applications in the area of Computational Intelligence, which essentially describes methods and approaches that mimic biologically intelligent behavior in order to solve problems that have been difficult to solve by classical mathematics. Generally Fuzzy Technology, Artificial Neural Nets and Evolutionary Computing are considered to be such approaches. The Editors have assembled new contributions in the areas of fuzzy sets, neural sets and machine learning, as well as combinations of them (so called hybrid methods) in the first part of the book. The second part of the book is dedicated to applications in the areas that are considered to be most relevant to Computational Intelligence.

Table of Contents

Preface	ix
METHODOLOGIES
Accuracy and Transparency of Fuzzy Systems	3	(14)
Robert Babuska
Should Tendency Assessment Precede Rule Extraction by Clustering? (No!)	17	(26)
James C. Bezdek
Nikhil R. Pal
Thomas A. Runkler
Kuhu Pal
A Review of Wavelet Networks, Wavenets, Fuzzy Wavenets and their Applications	43	(18)
Marc Thuillard
Investigating Neural Network Efficiency and Structure by Weight Investigation	61	(10)
Martin Lefley
Tom Kinsella
An Evaluation of Confidence Bound Estimation Methods for Neural Networks	71	(14)
Luren Yang
Tom Kavli
Mats Carlin
Sigmund Clausen
Paul F. M. De Groot
Compensation of Periodic Disturbances in Continuous Processing Plants by Means of a Neural Controller	85	(22)
Martin Rau
Dierk Schroder
Predictive Control with Restricted Genetic Optimisation	107	(10)
Santiago Garrido
Luis Moreno
Miguel Angel Salichs
Adaptive Parameterization of Evolutionary Algorithms and Chaotic Populations	117	(18)
Mauro Annunziato
Stefano Pizzuti
Neuro-Fuzzy Systems for Rule-Based Modelling of Dynamic Processes	135	(12)
Marian B. Gorzalczany
Adam Gluszek
Hybrid Intelligent Architectures using a Neurofuzzy Approach	147	(12)
Liam P. Maguire
T. Martin McGinnity
Brendan P. Glackin
Unifying Learning with Evolution Through Baldwinian Evolution and Lamarckism	159	(10)
Christophe Giraud-Carrier
Using An Evolutionary Strategy to Select Input Features for a Neural Network Classifier	169	(14)
Jens Strackeljan
Andreas Schubert
Advances in Machine Learning	183	(10)
Maarten W. Van Someren
Symbolic and Neural Learning of Named-Entity Recognition and Classification Systems in Two Languages	193	(18)
G. Petasis
S. Petridis
G. Paliouras
V. Karkaletsis
S.J. Perantonis
C.D. Spyropoulos
Fuzzy Model-Based Reinforcement Learning	211	(14)
Martin Appl
Wilfried Brauer
A Cellular Space for Feature Extraction and Classification	225	(22)
Christian Kuhn
Jurgen Wernstedt
APPLICATIONS
A Fuzzy Approach to Taming the Bullwhip Effect	247	(16)
Christer Carlsson
Robert Fuller
Forecast of Short Term Trends in Stock Exchange using Fuzzy Rules and Neural Networks on Multiresolution Processed Signals	263	(18)
Athanasios Tsakonas
Georgios Dounias
Georgios Tselentis
Customer Relationship Management: A Combined Approach by Customer Segmentation and Database Marketing	281	(10)
Martin Nelke
A new Vendor Evaluation Product for SAP R/3® Systems	291	(16)
Udo Grimmer
Uwe Klotz
Martin Nelke
Marco Poloni
About Robustness of Fuzzy Logic PD and PID Controller under Changes of Reasoning Methods	307	(12)
Bohdan S. Butkiewicz
Control of MIMO Dead Time Processes Using Fuzzy Relational Models	319	(12)
Brent A. Gormandy
Craig R. Edgar
Bruce E. Postlethwaite
Fuzzy Sliding Mode Controllers Synthesis through Genetic Optimization	331	(12)
Mariagrazia Dotoli
Bruno Maione
David Naso
Fuzzy RED: Congestion Control for TCP/IP Diff-Serv	343	(10)
Loukas Rossides
Ahmet Sekercioglu
Andreas Pitsillides
Athanasios Vasilakos
Stefan Kohler
Phuoc Tran-Gia
The Use of Reinforcement Learning Algorithms in Traffic Control of High Speed Networks	353	(18)
Antonios Atlasis
Athanasios Vasilakos
Fuzzy Reasoning in WCDMA Radio Resource Functions	371	(12)
Tapio Frantti
Petri Mahonen
Odour Classification based on Computational Intelligence Techniques	383	(18)
Georgios Tselentis
Francesco Marcelloni
Trevor P. Martin
Luca Sensi
Fuzzy Rule Based System for Diagnosis of Stone Construction Cracks of Buildings	401	(12)
Serhiy Shtovba
Alexander Rotshtein
Olga Pankevich
Automated Design of Multi-Drilling Gear Machines	413	(12)
Georg Klene
Adolf Grauel
Harold J. Convey
Andrew J. Hartley
Optimal Design of Alloy Steels Using Genetic Algorithms	425	(12)
Mahdi Mahfouf
Intelligent Systems in Biomedicine	437	(24)
Maysam F. Abbod
Mahdi Mahfouf
D.A. Linkens
Diagnosis Of Aphasia Using Neural And Fuzzy Techniques	461	(14)
Jan Jantzen
Hubertus Axer
Diedrich Graf von Keyserlingk
Gene Expression Data Mining for Functional Genomics using Fuzzy Technology	475	(14)
Reinhard Guthke
Wolfgang Schmidt-Heck
Daniel Hahn
Michael Pfaff
Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms	489	(12)
Oscar Fontenla-Romero
Bertha Guijarro-Berdinas
Amparo Alonso-Betanzos
Perspectives of Computational Intelligence	501	(13)
Georgios Tselentis
Maarten W. van Someren
Index	514