Introduction to Hybrid Intelligent Networks

This book covers the fundamental principles, new theories andmethodologies, 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 textalso provides a succinct but useful guideline for designing neural network-basedhybrid artificial intelligence for brain-inspired computation systems andapplications in the Internet of Things. Artificial Intelligence has developed into a deep research field targetingrobots with more brain-inspired perception, learning, decision-makingabilities, etc. This text devoted to a tutorial on hybrid intelligentnetworks that have been identified in nature and engineering, especially inthe 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, multiagentnetworks, hybrid dynamics analysis, collective dynamics, as well ashybrid communication, control and optimization methods. Graduate students who are interested in artificial intelligence andhybrid intelligence, as well as professors and graduate students who areinterested in neural networks and multiagent networks will find thistextbook a valuable resource. AI engineers and consultants whoare working in wireless communications and networking will want to buy this book. Also,professional and academic institutions in universities andMobile vehicle companies and engineers and managers who concern humans in the loop of IoTwill also be interested in this book.