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Books > Computing & IT > Applications of computing > Artificial intelligence
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Introduction to Hybrid Intelligent Networks - Modeling, Communication, and Control (Hardcover, 1st ed. 2019)
Loot Price: R2,404
Discovery Miles 24 040
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Introduction to Hybrid Intelligent Networks - Modeling, Communication, and Control (Hardcover, 1st ed. 2019)
Expected to ship within 12 - 17 working days
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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.
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