LEADER 04549nam 22005895 450 001 9910337570703321 005 20231116215249.0 010 $a3-030-02161-0 024 7 $a10.1007/978-3-030-02161-0 035 $a(CKB)4100000007598400 035 $a(DE-He213)978-3-030-02161-0 035 $a(MiAaPQ)EBC5922800 035 $a(PPN)235006564 035 $a(EXLCZ)994100000007598400 100 $a20190201d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntroduction to Hybrid Intelligent Networks $eModeling, Communication, and Control /$fby Zhi-Hong Guan, Bin Hu, Xuemin (Sherman) Shen 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (IX, 292 p. 62 illus., 58 illus. in color.) 311 $a3-030-02160-2 327 $a1 Hybrid Intelligent Networks -- 2 Delayed Hybrid Impulsive Neural Networks -- 3 Hybrid Impulsive Neural Networks with Interval-Uncertain Weights -- 4 Multistability of Hybrid Impulsive Neural Networks and Associative Memories -- 5 Impulsive Neural Networks Towards Image Protection -- 6 Hybrid Memristor-Based Impulsive Neural Networks -- 7 Hybrid Impulsive and Switching Control -- 8 Hybrid Communication and Control in Multi-Agent Networks -- 9 Event-Driven Communication and Control in Multi-Agent Networks -- 10 Hybrid Event-Time-Driven Communication and Network Optimization. 330 $aThis 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. 606 $aArtificial intelligence 606 $aWireless communication systems 606 $aMobile communication systems 606 $aElectrical engineering 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aWireless and Mobile Communication$3https://scigraph.springernature.com/ontologies/product-market-codes/T24100 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 615 0$aArtificial intelligence. 615 0$aWireless communication systems. 615 0$aMobile communication systems. 615 0$aElectrical engineering. 615 14$aArtificial Intelligence. 615 24$aWireless and Mobile Communication. 615 24$aCommunications Engineering, Networks. 676 $a006.30285436 700 $aGuan$b Zhi-Hong$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058854 702 $aHu$b Bin$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aShen$b X$g(Xuemin),$f1958-$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910337570703321 996 $aIntroduction to Hybrid Intelligent Networks$92502752 997 $aUNINA