| 书目名称 | Introduction to Hybrid Intelligent Networks | | 副标题 | Modeling, Communicat | | 编辑 | Zhi-Hong Guan,Bin Hu,Xuemin (Sherman) Shen | | 视频video | | | 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 | | 图书封面 |  | | 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 | | 关键词 | Neural network; artificial intelligence; impulsive neural network; impulsive activation; multi-agent net | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-02161-0 | | isbn_ebook | 978-3-030-02161-0 | | copyright | Springer Nature Switzerland AG 2019 |
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发表于 2025-3-21 18:30:29
