Introduction to Hybrid Intelligent Networks
Modeling, Communication, and Control
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Beschreibung
This book covers the fundamental principles, new theories and methodologies, and potential applications of hybrid intelligent networks. Chapters focus on hybrid neural networks and networked multi-agent networks, including their communication, control and optimization synthesis. This text also provides a succinct but useful guideline for designing neural network-based hybrid artificial intelligence for brain-inspired computation systems and applications in the Internet of Things.
Artificial Intelligence has developed into a deep research field targeting robots with more brain-inspired perception, learning, decision-making abilities, etc. This text devoted to a tutorial on hybrid intelligent networks that have been identified in nature and engineering, especially in the brain, modeled by hybrid dynamical systems and complex networks, and have shown potential application to brain-inspired intelligence. Included in this text are impulsive neural networks, neurodynamics, multiagent networks, hybrid dynamics analysis, collective dynamics, as well as hybrid communication, control and optimization methods.
Graduate students who are interested in artificial intelligence and hybrid intelligence, as well as professors and graduate students who are interested in neural networks and multiagent networks will find this textbook a valuable resource. AI engineers and consultants who are working in wireless communications and networking will want to buy this book. Also, professional and academic institutions in universities and Mobile vehicle companies and engineers and managers who concern humans in the loop of IoT will also be interested in this book.
A unified presentation of hybrid intelligent networks that includes exercises and examples. The hybrid impulsive neural network has deep biological and physical backgrounds, providing efficient tools for neural and brain structure modeling as well as human-engineered intelligent control and optimization. A comprehensive and up-to-date text on hybrid intelligent networks. This book covers hybrid impulsive neural network and multi-agent networks, and relevant new results on hybrid architecture of communication, control and optimization in network environments A state-of-the-art overview of theories, methodologies and applications A useful guideline to hybrid intelligence in the Internet of Things. Hybrid intelligent architectures targeted in this book provides a practical mode of human-robot interactions in the IoT
Autor*in
Zhi-Hong Guan
Themen in »Introduction to Hybrid Intelligent Networks«
Neural network artificial intelligence impulsive neural network impulsive activation multi-agent network impulsive control hybrid dynamical system distributed control consensus multiconsensus performance design communication Internet of Things wireless communications and networking optimization