За книгата
Evolving intelligent systems are based on fuzzy and neuro-fuzzy techniques that allow for the structure and the functionality of a computational intelligence system to develop and evolve from incoming data. Editors Angelov (communication systems, Lancaster U.), Filev (intelligent control & information systems, Ford Research & Advanced Engineering, US) and Kasabov (computer and information sciences, Auckland U. of Technology, New Zealand) present 17 papers focusing on the state-of-the-art in this emerging area of computational intelligence, which puts the emphasis on lifetime self-adaptation and on the online process of evolving the system's structure and parameters. They are presented in two sections, examining in turn the methodology of designing of fuzzy and neuro-fuzzy evolving systems and application aspects of the evolving concept. Корици: Твърди