Advances of Computational Intelligence in Industrial Systems
(Sprache: Englisch)
Computational Intelligence (CI) has emerged as a rapidly growing field over the past decade. This volume reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. Such a collection of chapters has presented the...
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Klappentext zu „Advances of Computational Intelligence in Industrial Systems “
Computational Intelligence (CI) has emerged as a rapidly growing field over the past decade. This volume reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. Such a collection of chapters has presented the state-of-the-art of CI applications in industry and will be an essential resource for professionals and researchers who wish to learn and spot the opportunities in applying CI techniques to their particular problems.
Inhaltsverzeichnis zu „Advances of Computational Intelligence in Industrial Systems “
- Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives- Web Services, Policies, and Context: Concepts and Solutions
- Data Mining with Privacy Preserving in Industrial Systems
- Kernels for Text Analysis
- Discovering Time-Constrained Patterns from Long Sequences
- Gauging Image and Video Quality in Industrial Applications
- Model Construction for Knowledge-Intensive Engineering Tasks
- Artificial Intelligence Applied to the Modeling and Implementation of a Virtual Medical Office
- DICOM-Based Multidisciplinary Platform for Clinical Decision Support: Needs and Direction
- Improving Neural Network Promoter Prediction by Exploiting the Lengths of Coding and Non-Coding Sequences
- Artificial Immune Systems for Self-Nonself Discrimination: Application to Anomaly Detection
- Computational Intelligence Applied to the Automatic Monitoring of Dressing Operations in an Industrial CNC Machine
- Automated Novelty Detection in Industrial Systems
- Multiway Principal Component Analysis (MPCA) for Upstream/Downstream Classification of Voltage Sags Gathered in Distribution Substations
- Applications of Neural Networks to Dynamical System Identification and Adaptive Control
- A Multi-Objective Multi-Colony Ant Algorithm for Solving the Berth Allocation Problem
- Query Rewriting for Semantic Multimedia Data Retrieval
Bibliographische Angaben
- 2008, 396 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben: Ying Liu, Aixin Sun, Ee-Peng Lim, Wen Feng Lu, Han Tong Loh
- Verlag: Springer Berlin Heidelberg
- ISBN-10: 3540782966
- ISBN-13: 9783540782964
- Erscheinungsdatum: 23.05.2008
Sprache:
Englisch
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