An evolutionary approach to fuzzy rule-based model synthesis using indices for rules
Fuzzy Sets and Systems - Theme: Modeling and control
Design and performance of a rule-based controller in a naturally ventilated room
Computers in Industry
A fuzzy controller with evolving structure
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Bio-inspired systems (BIS)
Extensions of vector quantization for incremental clustering
Pattern Recognition
Evolving fuzzy classifiers using different model architectures
Fuzzy Sets and Systems
Rule-Based Fuzzy Logic System for Diagnosing Migraine
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
Computer-Assisted Diagnosis of Primary Headaches
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Creating User Profiles from a Command-Line Interface: A Statistical Approach
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews - Special issue on information reuse and integration
Engineering Applications of Artificial Intelligence
Gustafson-Kessel algorithm for evolving data stream clustering
CompSysTech '09 Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
On-line design of takagi-sugeno models
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Evolving fuzzy systems based on the eTS learning algorithm for the valuation of residential premises
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Adaptive inferential sensors based on evolving fuzzy models
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An evolving-onstruction scheme for fuzzy systems
IEEE Transactions on Fuzzy Systems
Fuzzy multivariable Gaussian evolving approach for fault detection and diagnosis
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Handling drifts and shifts in on-line data streams with evolving fuzzy systems
Applied Soft Computing
Survey paper: A survey on industrial applications of fuzzy control
Computers in Industry
A plan classifier based on Chi-square distribution tests
Intelligent Data Analysis
Optical fuzzy logic systems in problems of adaptive simulation of weakly formalized processes
Journal of Computer and Systems Sciences International
A TSK fuzzy inference algorithm for online identification
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Evolving fuzzy classifier based on the modified ECM algorithm for pattern classification
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Online activity recognition using evolving classifiers
Expert Systems with Applications: An International Journal
Evolving granular neural networks from fuzzy data streams
Neural Networks
Hi-index | 0.00 |
The objects of System Modelling and control change due to dynamical characteristics, fault development or simply ageing. There is a need to up-date models inheriting useful structure and parameter information. The book gives an original solution to this problem with a number of examples. It treats an original approach to on-line adaptation of rule-based models and systems described by such models. It combines the benefits of fuzzy rule-based models suitable for the description of highly complex systems with the original recursive, non iterative technique of model evolution without necessarily using genetic algorithms, thus avoiding computational burden making possible real-time industrial applications. Potential applications range from autonomous systems, on-line fault detection and diagnosis, performance analysis to evolving (self-learning) intelligent decision support systems.