Applications and Science in Soft ComputingAhmad Lotfi Springer Science & Business Media, 22.01.2004 - 346 Seiten 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. |
Inhalt
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 |
| 308 | |
Fuzzy AudioVisual Feature Maps for Speaker Identification | 316 |
| 322 | |
| 330 | |
On a Large SequenceBased Human Gait Database | 338 |
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Applications and Science in Soft Computing Ahmad Lotfi,Jonathan M. Garibaldi Eingeschränkte Leseprobe - 2013 |
Applications and Science in Soft Computing Ahmad Lotfi,Jonathan M. Garibaldi Keine Leseprobe verfügbar - 2014 |
Häufige Begriffe und Wortgruppen
analysis applied approach approximation B-cell B-frames base-numbers behaviour biometric classifier combination constraints corresponding Data Mining data sets database DBPBIL defined detection distribution dynamic ensemble error evaluation example experiments fuzzy controller fuzzy logic fuzzy model fuzzy sets Fuzzy Systems gait Gaussian gears Genetic Algorithms heuristic hypothesis space identification IEEE implementation input Intelligent interactions International iteration Iterative Learning Control Kacprzyk labelled layer linear linguistic summaries load forecasting Machine Learning makespan membership functions multi-ranking neural network Neuro-Fuzzy neurons node noise clustering non-linear obtained optimisation output paper parameters patterns PBIL performance possible prediction presented problem Proc query random ranking recognition regression tree represent robot rules samples scene cut selection signal Soft Computing Soft Learning solution strategy structure Support Vector Machines support vectors Table techniques theory tion training data training set types version space weights