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Titlebook: Introduction to Hybrid Intelligent Networks; Modeling, Communicat Zhi-Hong Guan,Bin Hu,Xuemin (Sherman) Shen Textbook 2019 Springer Nature

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書目名稱Introduction to Hybrid Intelligent Networks
副標(biāo)題Modeling, Communicat
編輯Zhi-Hong Guan,Bin Hu,Xuemin (Sherman) Shen
視頻videohttp://file.papertrans.cn/474/473764/473764.mp4
概述A unified presentation of hybrid intelligent networks that includes exercises and examples. The hybrid impulsive neural network has deep biological and physical backgrounds, providing efficient tools
圖書封面Titlebook: Introduction to Hybrid Intelligent Networks; Modeling, Communicat Zhi-Hong Guan,Bin Hu,Xuemin (Sherman) Shen Textbook 2019 Springer Nature
描述.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 intel
出版日期Textbook 2019
關(guān)鍵詞Neural network; artificial intelligence; impulsive neural network; impulsive activation; multi-agent net
版次1
doihttps://doi.org/10.1007/978-3-030-02161-0
isbn_ebook978-3-030-02161-0
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Delayed Hybrid Impulsive Neural Networks, networks. Fundamental issues such as the global exponential stability, the existence and uniqueness of the equilibrium of such impulsive Hopfield networks are established. A numerical example is given for illustration and interpretation of the theoretical results.
地板
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Impulsive Neural Networks Towards Image Protection,inear protocol and random broadcast impulse, with the impulse effect discussed. Illustrative examples are provided to verify the developed impulsive synchronization results and to show its potential application in image encryption and decryption.
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發(fā)表于 2025-3-22 09:09:38 | 只看該作者
Hybrid Communication and Control in Multi-Agent Networks,ight of consensus performance, we resort to a hybrid impulsive and switching control scheme to develop an improved updating rule such that agents can realize consensus and meet some global performance guarantee simultaneously. Simulations are further presented to illuminate the obtained theoretical results.
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發(fā)表于 2025-3-22 13:52:10 | 只看該作者
Textbook 2019s 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?app
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Textbook 2019d 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 intel
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發(fā)表于 2025-3-23 08:14:53 | 只看該作者
gent?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 intel978-3-030-02161-0
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