http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
XXV, 468 p. 16 illus., 6 illus. in color. online resource.
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.
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.
edited by Ajith Abraham, Berend Jan van der Zwaag.
Mathematical and Computational Engineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer-Aided Engineering (CAD, CAE) and Design
Studies in Fuzziness and Soft Computing, 140