Advances in Computational Intelligence and Learning: Methods and Applications

✍ Scribed by Robert Babuška (auth.), Hans-Jürgen Zimmermann, Georgios Tselentis, Maarten van Someren, Georgios Dounias (eds.)

• Publisher: Springer Netherlands
• Year: 2002
• Tongue: English
• Leaves: 517
• Series: International Series in Intelligent Technologies 18
• Edition: 1
• Category: Library

✦ Synopsis

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

Front Matter....Pages i-xvi
Front Matter....Pages 1-1
Accuracy and Transparency of Fuzzy Systems....Pages 3-16
Should Tendency Assessment Precede Rule Extraction by Clustering? (No!)....Pages 17-41
A Review of Wavelet Networks, Wavenets, Fuzzy Wavenets and their Applications....Pages 43-60
Investigating Neural Network Efficiency and Structure by Weight Investigation....Pages 61-69
An Evaluation of Confidence Bound Estimation Methods for Neural Networks....Pages 71-84
Compensation of Periodic Disturbances in Continuous Processing Plants by Means of a Neural Controller....Pages 85-106
Predictive Control with Restricted Genetic Optimisation....Pages 107-116
Adaptive Parameterization of Evolutionary Algorithms and Chaotic Populations....Pages 117-134
Neuro-Fuzzy Systems for Rule-Based Modelling of Dynamic Processes....Pages 135-146
Hybrid Intelligent Architectures using a Neurofuzzy Approach....Pages 147-158
Unifying Learning with Evolution Through Baldwinian Evolution and Lamarckism....Pages 159-168
Using An Evolutionary Strategy to Select Input Features for a Neural Network Classifier....Pages 169-181
Advances in Machine Learning....Pages 183-192
Symbolic and Neural Learning of Named-Entity Recognition and Classification Systems in Two Languages....Pages 193-210
Fuzzy Model-Based Reinforcement Learning....Pages 211-223
A Cellular Space for Feature Extraction and Classification....Pages 225-243
Front Matter....Pages 245-245
A Fuzzy Approach to Taming the Bullwhip Effect....Pages 247-262
Forecast of Short Term Trends in Stock Exchange using Fuzzy Rules and Neural Networks on Multiresolution Processed Signals....Pages 263-280
Customer Relationship Management: A Combined Approach by Customer Segmentation and Database Marketing....Pages 281-290
A new Vendor Evaluation Product for SAP R/3® Systems....Pages 291-306
Front Matter....Pages 245-245
About Robustness of Fuzzy Logic PD and PID Controller under Changes of Reasoning Methods....Pages 307-318
Control of MIMO Dead Time Processes Using Fuzzy Relational Models....Pages 319-330
Fuzzy Sliding Mode Controllers Synthesis through Genetic Optimization....Pages 331-341
Fuzzy RED: Congestion Control for TCP/IP Diff-Serv....Pages 343-352
The Use of Reinforcement Learning Algorithms in Traffic Control of High Speed Networks....Pages 353-369
Fuzzy Reasoning in WCDMA Radio Resource Functions....Pages 371-382
Odour Classification based on Computational Intelligence Techniques....Pages 383-399
Fuzzy Rule Based System for Diagnosis of Stone Construction Cracks of Buildings....Pages 401-411
Automated Design of Multi-Drilling Gear Machines....Pages 413-423
Optimal Design of Alloy Steels Using Genetic Algorithms....Pages 425-436
Intelligent Systems in Biomedicine....Pages 437-460
Diagnosis Of Aphasia Using Neural And Fuzzy Techniques....Pages 461-474
Gene Expression Data Mining for Functional Genomics using Fuzzy Technology....Pages 475-487
Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms....Pages 489-500
Perspectives of Computational Intelligence....Pages 501-511
Back Matter....Pages 513-515

✦ Subjects

Mathematical Logic and Foundations; Artificial Intelligence (incl. Robotics); Operation Research/Decision Theory