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INTRODUCTION TO HYBRID INTELLIGENT NETWORKS IBD

BIN HU / XUEMIN (SHERMAN) SHEN / ZHI HONG GU
SPRINGER
02 / 2019
9783030021603
Inglés

Sinopsis

This book covers the fundamental principles, new theories andámethodologies, and potential applications of hybrid intelligent networks.áChapters focus oná hybrid neural networks and networked multi-agent networks,áincluding their communication, control and optimization synthesis. This textáalso provides a succinct but useful guideline for designing neural network-basedáhybrid artificial intelligence for brain-inspired computation systems andáapplications in the Internet of Things.Artificial Intelligence has developed into a deep research field targetingárobots with more brain-inspired perception, learning, decision-makingáabilities, etc. This text devoted to a tutorial on hybrid intelligentánetworks that have been identified in nature and engineering, especially ináthe brain, modeled by hybrid dynamical systems and complex networks,áand have shown potential application to brain-inspired intelligence.áIncluded in this text are impulsive neural networks, neurodynamics, multiagentánetworks, hybrid dynamics analysis, collective dynamics, as well asáhybrid communication, control and optimization methods.Graduate students who are interested in artificial intelligence andáhybrid intelligence, as well as professors and graduate students who areáinterested in neural networks and multiagent networks will find thisátextbook a valuable resource. AI engineers and consultants whoáare working iná wireless communications and networking will want to buy this book. Also,áprofessional and academic institutions in universities andáMobile vehicle companies and engineers and managers who concern humans in the loop of IoTáwill also be interested in this book.