Focusing on advancements in fuzzy system engineering, this book highlights recent breakthroughs in fuzzy logic and soft computing. It explores innovative developments in fuzzy theory and showcases practical applications that leverage this theory to enhance intelligent system engineering. The monograph serves as a comprehensive resource for understanding the evolving landscape of fuzzy logic and its implications for intelligent systems.
Focusing on quantum computation, this book explores the concepts of quantum unitary, binary, and ternary operators, detailing their implications for computation. It examines the architecture of quantum processors and validates their functionality through simulated execution of various quantum instructions. The comprehensive review highlights the intricate relationship between quantum operators and processing capabilities, making it a valuable resource for understanding advanced quantum computing principles.
This book explores the integration of various soft computing techniques, such as Genetic Algorithms, Artificial Neural Networks, and Particle Swarm Optimization, into hardware designs. It emphasizes the use of reconfigurable hardware like FPGAs for efficient implementation, addressing challenges in embedded system design and circuit synthesis.
This book is concerned with studying the co-design methodology in general, and how to determine the more suitable interface mechanism in a co-design system in particular. This is based on the characteristics of the application and those of the target architecture of the system. Guidelines are provided to support the designer's choice of the interface mechanism. Some new trends in co-design and system acceleration are also introduced.