… Finally Chapter 17 presents the fundamentals of hybrid intelligent systems with a focus
on neurofuzzy systems, evolutionary fuzzy systems and evolutionary neural networks. The …

… Finally, the efficient control and supervision of factories require the application of intelligent
systems in a hierarchical structure to address the needs of all components employed in the …

… -life applications. Explains the following fundamental approaches for developing evolving
intelligent systems (… Paradigm the Evolving Takagi-Sugeno fuzzy systems (eTS+) the evolving …

… ML has applications in various fields. This review focuses on some of the fields and applications
such as education, healthcare, network security, banking and finance, and social media. …

… These systems called 'evolving' came as a result of the research on practical intelligent
systems and on-line learning algorithms that are capable ofextracting knowledge from data and …

… for integrating intelligent systems. The designing aspects and perspectives of different hybrid
archirectures like NN-FIS, EC-FIS, EC-NN, FIS-PR and NN-FIS-EC systems are presented. …

… intelligence, and in the creation of systems that we call intelligent systems. The mathematics
… soft computing has started making advances in this era of intelligent systems. This artificial …

Intelligent Systems and Control: Principles and Applications is a textbook for undergraduate
level courses on intelligent control, intelligent systems, adaptive control, and non-linear …

… This paper offers a comprehensive study of information aggregation in intelligent systems …
applications of aggregation functions in decision making, utility theory, fuzzy inference systems…

… Smart adaptive systems are based on intelligent methods, ie individual … are intelligent
systems. The smartness of the overall systems depends on integration of these intelligent systems. …