國立虎尾科技大學 |

Introduction to Hybrid Intelligent Networks = Modeling, Communication, and Control /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Introduction to Hybrid Intelligent Networks/ by Zhi-Hong Guan, Bin Hu, Xuemin (Sherman) Shen.
Reminder of title:	Modeling, Communication, and Control /
Author:	Guan, Zhi-Hong.
other author:	Hu, Bin.
Description:	IX, 292 p. 62 illus., 58 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-02161-0
ISBN:	9783030021610

Introduction to Hybrid Intelligent Networks = Modeling, Communication, and Control /
Guan, Zhi-Hong.

Introduction to Hybrid Intelligent NetworksModeling, Communication, and Control /[electronic resource] :by Zhi-Hong Guan, Bin Hu, Xuemin (Sherman) Shen. - 1st ed. 2019. - IX, 292 p. 62 illus., 58 illus. in color.online resource.

1 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.

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.

ISBN: 9783030021610

Standard No.: 10.1007/978-3-030-02161-0doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Introduction to Hybrid Intelligent Networks = Modeling, Communication, and Control /
LDR:03596nam a22003855i 4500 001 1011405
003 DE-He213
005 20200702173937.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030021610 $9 978-3-030-02161-0
024 7 $a 10.1007/978-3-030-02161-0 $2 doi
035 $a 978-3-030-02161-0
050 4 $a Q334-342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Guan, Zhi-Hong. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1305569
245 1 0 $a Introduction to Hybrid Intelligent Networks $h [electronic resource] : $b Modeling, Communication, and Control / $c by Zhi-Hong Guan, Bin Hu, Xuemin (Sherman) Shen.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a IX, 292 p. 62 illus., 58 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 1 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.
520 $a 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.
650 0 $a Artificial intelligence. $3 559380
650 0 $a Wireless communication systems. $3 562740
650 0 $a Mobile communication systems. $3 562917
650 0 $a Electrical engineering. $3 596380
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Wireless and Mobile Communication. $3 1207058
650 2 4 $a Communications Engineering, Networks. $3 669809
700 1 $a Hu, Bin. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 796196
700 1 $a Shen, Xuemin (Sherman). $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1024151
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030021603
776 0 8 $i Printed edition: $z 9783030021627
856 4 0 $u https://doi.org/10.1007/978-3-030-02161-0
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)