introduction hybrid intelligent networks di guan zhi hong (18 risultati)

IX, 292 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

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Buch. Condizione: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 304 pp. Englisch.

Hardcover. Condizione: New. New. book.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Hardcover. Condizione: Brand New. 292 pages. 9.50x6.50x0.75 inches. In Stock.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 304 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A unified presentation of hybrid intelligent networks that includes exercises and examples.&nbspThe hybrid impulsive neural network has deep biological and physical backgrounds,&nbspproviding efficient tools for neural and brain structure modeli.