Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well as practical applications in engineering, science, business and commerce. The book covers central topics such as intelligent multi-agent systems, data mining, case-based reasoning, and rough sets. Essential techniques to the development of intelligent machines are investigated such as pattern recognition and classification, machine learning, natural language processing, grammar, evolutionary schemes, fuzzy-neural procedures, and intelligent vision. The book also includes useful applications ranging from medical diagnosis and technical/medical language translation, to power demand forecasting and manufacturing plants. Due to its depth and breadth of the coverage and the usefulness of the techniques and applications, this book is a valuable reference for experts and students alike.
Inhaltsverzeichnis
1 Theory. - 1. Use of multi-category proximal SVM for data set reduction. - 2. Bayesian control of dynamic systems. - 3. AppART: a hybrid neural network based on adaptive resonance theory for universal function approximation. - 4. An algorithmic approach to the main concepts of rough set theory. - 5. Automated case selection from databases using similarity-based rough approximation. - 6. An induction algorithm with selection significance based on a fuzzy derivative. - 7. Model and fixpoint semantics for fuzzy disjunctive programs with weak similarity. - 8. An automated report generation tool for the data understanding phase. - 9. Finding trigonometric identities with tree adjunct grammar guided genetic programming. - 2 Applications. - 10. Modeling a distributed knowledge management for autonomous cooperative agents with knowledge migration. - 11. Intelligent information systems based on paraconsistent logic programs. - 12. Neuro-fuzzy paradigms for intelligent energy management. - 13. Information space optimization for inductive learning. - 14. Detecting, tracking, and classifying human movement using active contour models and neural networks. - 15. Fuzzy sets in investigation of human cognition processes. - 16. A full explanation facility for an MLP network that classifies low-back-pain patients and for predicting MLP reliability. - 17. Automatic translation to controlled medical vocabularies. - 18. A genetic programming for the induction of natural language parser. - List of contributors.
