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Advances of Computational Intelligence in Industrial Systems Book

Advances of Computational Intelligence in Industrial Systems
Advances of Computational Intelligence in Industrial Systems, , Advances of Computational Intelligence in Industrial Systems has a rating of 3 stars
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  • Advances of Computational Intelligence in Industrial Systems
  • Written by author Ying Liu
  • Published by Springer-Verlag New York, LLC, September 2008
  • Computational Intelligence (CI) has emerged as a rapid growing field over the past decade. Its various techniques have been recognized as powerful tools for intelligent information processing, decision making and knowledge management.Advances of Comput
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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 Protection in Industrial Systems.- Kernels for Text Analysis.- Discover 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.


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