Advances of Computational Intelligence in Industrial Systems [electronic resource] / edited by Ying Liu, Aixin Sun, Han Tong Loh, Wen Feng Lu, Ee-Peng Lim.

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.

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 Computational Intelligence in Industrial Systems reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. Section I – Theory and Foundation presents some of the latest developments in CI, e.g. particle swarm optimization, Web services, data mining with privacy protection, kernel methods for text analysis, etc. Section II – Industrial Application covers the CI applications in a wide variety of domains, e.g. clinical decision support, process monitoring for industrial CNC machine, novelty detection for jet engines, ant algorithm for berth allocation, etc. 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.