Evolving intelligent systems: methodology and applications

This book targets researchers, engineers, postgraduate students, and practitioners in advanced process industries, applied mathematicians, software developers of agent-oriented systems, developers of embedded and real-time systems. Currently existing books on computational intelligence focus predominantly on off-line solutions where all the data is available in a batch mode and the intelligent system (fuzzy system, neural or Bayesian network) is pre-defined and with a fixed structure. The dynamics of the processes that are modelled, controlled or predicted is, however, usually non-stationary and a more flexible approach of adaptation of system (model, controller, classifier, predictor) is often required. There is a clear demand in advanced process industries, defense, Internet and communication (VoIP) applications for intelligent yet adaptive/evolving systems. There are a growing number of papers, special sessions, special issues, conferences on this topic, but this is the first self-contained volume that covers this topic in its entirety (from a systematic methodology to case studies and real industrial applications).Dr Plamen Angelov is with the Department of Communication Systems, Lancaster University. He is a member of the Technical Committee on Fuzzy Systems, a Chair of a Task Force to the Computational Intelligence Society, and a Senior Member of the IEEE. He has over 100 papers in leading journals and peer-reviewed conference proceedings. He serves as Associate Editor of the Intern. Journal ofKnowledge-Based and Intelligent Eng. Syst. and of the eNewsLetter of the IEEESystems, Man, and Cybernetics Society. Dr. Dimitar P. Filev is a Senior Technical Leader, Intelligent Control & Information Systems with Ford Research & Advanced Engineering. He has published 3 books and more than 160 articles in refereed journals and conference proceedings. He holds 14 granted U.S. patents and numerous foreign patents in the area of industrial intelligent systems He isa member of the Board of Governors of the IEEE Systems, Man & Cybernetics Society and President of the North American Fuzzy Information Processing Society (NAFIPS). Professor Nikola Kasabov is Founding Director and Chief Scientist ofthe Knowledge Engineering and Discovery Research Institute. He holds a Chair of Knowledge Engineering at the School of Computer and Information Sciences atAuckland University of Technology. He is a Fellow of the Royal Society of NewZealand, Fellow of the New Zealand Computer Society and a Senior Member of IEEE. He has published 15 books, 80 journal papers, 50 book chapters, 25 patentsand numerous conference papers.

• ISBN: 978-0-470-28719-4
• Editorial: John Wiley & Sons
• Encuadernacion: Cartoné
• Páginas: 444
• Fecha Publicación: 31/03/2010
• Nº Volúmenes: 1
• Idioma: Inglés