Applications and Science in Soft Computing

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Springer Science & Business Media, Nov 18, 2003 - Business & Economics - 346 pages
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Soft computing techniques have reached a significant level of recognition and - ceptance from both the academic and industrial communities. The papers collected in this volume illustrate the depth of the current theoretical research trends and the breadth of the application areas in which soft computing methods are making c- tributions. This volume consists of forty six selected papers presented at the Fourth Inter- tional Conference on Recent Advances in Soft Computing, which was held in N- th th tingham, United Kingdom on 12 and 13 December 2002 at Nottingham Trent University. This volume is organized in five parts. The first four parts address mainly the f- damental and theoretical advances in soft computing, namely Artificial Neural Networks, Evolutionary Computing, Fuzzy Systems and Hybrid Systems. The fifth part of this volume presents papers that deal with practical issues and ind- trial applications of soft computing techniques. We would like to express our sincere gratitude to all the authors who submitted contributions for inclusion. We are also indebted to Janusz Kacprzyk for his - vices related to this volume. We hope you find the volume an interesting refl- tion of current theoretical and application based soft computing research.
 

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Contents

A Recurrent SelfOrganizing Map for Temporal Sequence Processing
3
Optimisation of Neural Network Topology and Input Parameters for Prosody Modelling of Synthetic Speech
9
Using ART1 Neural Networks to Determine Clustering Tendency
17
High Performance Associative Memories and Structured Weight Dilution
23
Neural Network Analysis of Estimation of Data
31
A Compiler and Simulator for Partial Recursive Functions over Neural Networks
39
Adaptive Combination of Ensemble Results
46
On the Fuzzy Spatiotemporal Specification of Multimedia Synchronisation Scenarios
52
Identification of Dynamic CauseEffect Relations for Systems Performance Evaluation
186
A Multilayered Immune Inspired Machine Learning Algorithm
194
Using Plausible Reasoning for Developing Intelligent Systems
202
Towards ModelIndependent Mode Detection and Characterisation of Very Long Biomedical Time Series
212
Analysis of Rules Discovered by the Data Mining Process
218
A Study of Query Generation Strategies for Interactive Constraint Acquisition
224
A Multiagent System as Framework for Learning Algorithms Benchmarking
232
A Conceptual Bridge between Data Mining and Machine Learning
240

Can a Parallel Agent Approach to Genetic Algorithms Reduce Search Times
68
Comparison of Domination Approaches for Diploid Binary Genetic Algorithms
74
New Heuristics for Flowshop Scheduling
80
Temporal Rule Discovery using Genetic Programming and Specialized Hardware
86
Genetic Programming with Guaranteed Constraints
94
Design and Synthesis of PiecewiseLinear Fuzzy Systems
110
A New Ranking Method For Fuzzy FMEA
118
A General Framework
126
Noise Clustering with a Fixed Fraction of Noise
132
Selective Sampling for Combined Learning from Labelled and Unlabelled Data
138
Embedding Support Vector Machines into Localised Mixtures of Experts
154
Gaussian Function Approximation in NeuroFuzzy Systems
162
Automated Configuration of MultiSpindle Drilling Gear Machines by SubDomain Knowledge Processing and Adaptive Algorithms
170
Construction of Shapepreserving Affine TakagiSugeno Systems via Linearrational Spline Fuzzy Partitions
178
Heuristics for Kernels Adaptation in Support Vector Machines
248
A Study of the Effectiveness of Detailed Balance in Avoiding Convergence in PBIL
254
An Adaptive Multi EmbeddedAgent Architecture for Intelligent Inhabited Environments
270
Constraint NeuroModel based Predictive Control
278
An Efficient Hybrid Method of Regression Tree and Fuzzy Inference for Shortterm Load Forecasting in Electric Power Systems
286
Michael H Schwarz and Chris S Cox
294
Influence of Illumination
300
A NeuroFuzzy Technique for Scene Cut Detection from MPEG1 Video
308
Fuzzy AudioVisual Feature Maps for Speaker Identification
316
Adaptive User Agents for Intelligent Biometric Applications
322
Gait Recognition by Moment Based Descriptors
330
On a Large SequenceBased Human Gait Database
338
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