Intelligent Systems and Technologies - Methods and Applications

Intelligent systems and technologies are increasing finding their ways in our daily lives. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems; A Fuzzy Density Analysis of Subgroups by means of DNA Oligonucleotides; Evolution of Cooperating Classification Rules with an Archiving Strategy to Underpin Collaboration; Designing Agents with Dynamic Capability; Localized versus Locality Preserving Representation Methods in Face Recognition Tasks; Invariance Properties of Recurrent Neural Networks; Solving Bioinformatics Problems by Soft Computing Techniques; Transforming an Interactive Expert Code into a Statefull Service and a Multicoreenabled System; Ro-WordNet with Paradigmatic Morphology and Subjectivity Mark-up; Special Cases of Relative Object Qualification using the AMONG Operator; Effective Speaker Tracking Strategies for Multi-party Human-Computer Dialogue; The Fuzzy Interpolative Control for Passive Greenhouses; GPS safety system for airplanes; 3D Collaborative Interfaces for E-learning; Open Projects in Contemporary E-Learning; Software Platform for Archaeological Patrimony Inventory and Management. The book is directed to the graduate students, researchers, professors and the practitioner of intelligent systems.

List of contents

PART 1. Introduction.- PART 2. Methods and Tools.- PART 3. Applications.

Product details

• Assisted by: Lakhmi Jain (Editor), Horia-Nicolai Teodorescu (Editor), Junzo Watada (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 17.06.2009
• EAN: 9783642018848
• ISBN: 978-3-642-01884-8
• No. of pages: 300
• Dimensions: 161 mm x 243 mm x 23 mm
• Weight: 616 g
• Illustrations: VIII, 300 p.
• Series: Studies in Computational Intelligence
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; E-Learning, B, Künstliche Intelligenz, Artificial Intelligence, Evolution, Ontology, Neural Networks, engineering, Fuzzy, Mathematical and Computational Engineering, Engineering mathematics, Applied mathematics, Mathematical and Computational Engineering Applications, operator, Intelligent Systems, neural network