Introduction to Hybrid Intelligent Networks : Modeling, Communication, and Control / by Zhi-Hong Guan, Bin Hu, Xuemin (Sherman) Shen.

Format:

Book

Author/Creator:

Guan, Zhi-Hong, author.

Hu, Bin, author.

Shen, X. (Xuemin), 1958- author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Artificial intelligence.

Wireless communication systems.

Mobile communication systems.

Electrical engineering.

Artificial Intelligence.

Wireless and Mobile Communication.

Communications Engineering, Networks.

Local Subjects:

Artificial Intelligence.

Wireless and Mobile Communication.

Communications Engineering, Networks.

Physical Description:

1 online resource (IX, 292 pages) : 62 illustrations, 58 illustrations in color

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

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, et cetera 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.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-030-02161-0

9783030021610

9783030021603

9783030021627

Access Restriction:

Restricted for use by site license.