Applications and Science in Soft Computing
Series: Advances in Soft Computing
Ahmad Lotfi, Jonathan M. Garibaldi
Résumé
The series "Advances Soft Computing" contains publications on various areas within the so-called soft computing which include fuzzy sets, rough sets, neural networks, evolutionary computations, probabilistic and evidential reasoning, multi-valued logic, and related fields. The publications within "Advances in Soft Computing" are primarily textbooks and proceeding of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicational character. An important characteristic feature of the series is a short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results.
The book covers the theory and application of soft
computing techniques namely; neural networks, fuzzy logic,
evolutionary computing and complex systems. The book is a
collection of selected, edited papers presented at the 4th
conference RAGS Recent Advances in Soft Computing held in
Nottingham, December 2002.
It provides the latest developments in applications of soft
computing techniques as well as advances in theoretical
aspects of soft computing.
Written for:
Researchers, academics, graduate students
Contents
- Part I - Artificial Neural Networks
- A Recurrent Self-Organizing Map for Temporal Sequence Processing
- Optimisation of Neural NetworkTopology and Input Parameters for Prosody Modelling of Synthetic Speech
- Using ART 1 Neural Networks to Determine Clustering Tendency
- High Performance Associative Memories and Structured Weight Dilution
- Neural Network Analysis of Estimation of Data
- A Compiler and Simulator for Partial Recursive Functions over Neural Networks
- Multistage Neural Networks: Adaptive Combination of Ensemble Results
- On the Fuzzy Spatio-temporal Specification of Multimedia Synchronisation Scenarios
- Part II - Evolutionary Computing
- An Approach to On-line Design of Fuzzy Controllers with Evolving Structure
- Can a Parallel Agent Approach to Genetic Algorithms ReduceSearch Times
- Comparison of Domination Approaches for Diploid Binary Genetic Algorithms
- New Heuristics for Flowshop Scheduling
- Temporal Rule Discovery using Genetic Programming and Specialized
- Hardware
- Genetic Programming with Guaranteed Constraints
- PartIII - Fuzzy Systems
- Precisiated Natural Language and Protoforms for Human Consistent Data Mining
- J. Kacprzyk and S. Zadro±ny 103
- Design and Synthesis of Piecewise-Linear Fuzzy Systems
- A New Ranking Method For Fuzzy FMEA
- Representing Reliability and Hesitation in Possibility Theory: A General Framework
- Noise Clustering with a Fixed Fraction of Noise
- Selective Sampling for Combined Learning from Labelled and Unlabelled Data
- PartIV - Hybrid and Intelligent Systems
- New Results for a Hybrid Decision Tree/Genetic Algorithm for Data Mining
- Embedding Support Vector Machines into Localised Mixtures of Experts
- Gaussian Function Approximation in Neuro-Fuzzy Systems
- Automated Configuration of Multi-Spindle Drilling Gear Machines by Sub-Domain Knowledge Processing and Adaptive Algorithms
- Construction of Shape-preserving First-order Takagi-Sugeno Systems via Linear-rational Spline Fuzzy Partitions
- Identification of Dynamic Cause-Effect Relations for Systems Performance Evaluation
- AMulti-layered Immune Inspired Machine Learning Algorithm
- Using Plausible Reasoning for Developing Intelligent Systems
- Towards Model-Independent Mode Detection and Characterisation of Very Long Biomedical Time Series
- Analysis of Rules Discovered by the Data Mining Process
- AStudy of Query Generation Strategies for Interactive Constraint Acquisition
- A Multi-agent System as Framework for Learning Algorithms Benchmarking
- Soft Learning: A Conceptual Bridge between Data Mining and Machine
- Learning
- Heuristics for Kernels Adaptation in Support Vector Machines
- AStudy of the Effectiveness of Detailed Balance in Avoiding Premature Convergence in PBIL
- Part V - Soft Computing Applications
- Application of Computational Intelligence Methods for Intelligent
- Modelling of Buildings
- An Adaptive Multi Embedded-Agent Architecture for Intelligent Inhabited Environments
- Constraint Neuro-Model based Predictive Control
- An Efficient Hybrid Method of Regression Tree and Fuzzy Inference for Short-term Load Forecasting in Electric Power Systems
- An Iterative Learning Control Method for a Level Control Problem
- Face Verification Using SVM: Influence of Illumination
- A Neuro-Fuzzy Technique for Scene Cut Detection from MPEG- 1 Video
- Fuzzy Audio-Visual Feature Maps for Speaker Identification
- Adaptive User Agents for Intelligent Biometric Applications
- Gait Recognition by Moment Based Descriptors
- On a Large Sequence-Based Human Gait Database
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Springer |
| Auteur(s) | Ahmad Lotfi, Jonathan M. Garibaldi |
| Parution | 01/12/2003 |
| Nb. de pages | 346 |
| Format | 15,5 x 23,5 |
| Couverture | Broché |
| Poids | 545g |
| Intérieur | Noir et Blanc |
| EAN13 | 9783540408567 |
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