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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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樓主: 佯攻
11#
發(fā)表于 2025-3-23 11:48:04 | 只看該作者
Hybrid Impulsive Neural Networks with Interval-Uncertain Weights,ations, new criteria are derived for ensuring the global robust exponential stability of the hybrid neural networks. Convergence analysis together with illustrative examples show the effectiveness of the theoretical results.
12#
發(fā)表于 2025-3-23 14:31:23 | 只看該作者
Multistability of Delayed Hybrid Impulsive Neural Networks,ociative memories. It is shown by an experimental example that delayed hybrid impulsive neural networks have the advantages of high storage capacity and high fault tolerance when used for associative memories.
13#
發(fā)表于 2025-3-23 21:09:06 | 只看該作者
14#
發(fā)表于 2025-3-24 00:47:11 | 只看該作者
15#
發(fā)表于 2025-3-24 03:52:11 | 只看該作者
16#
發(fā)表于 2025-3-24 08:52:48 | 只看該作者
Hybrid Impulsive Neural Networks with Interval-Uncertain Weights,al steps toward understanding how the brain works and evolves. Inspired by the universal existence of impulses in many real systems, this chapter introduces a class of hybrid neural networks with impulses, time-delays and interval uncertainties, and studies its global dynamic evolution by robust int
17#
發(fā)表于 2025-3-24 12:03:26 | 只看該作者
Multistability of Delayed Hybrid Impulsive Neural Networks,design of associative memories, this chapter introduces the multistability of delayed hybrid impulsive neural networks and lays emphasis on the impulse effect. Arising from the spikes in biological networks, impulsive neural networks provide an efficient model for synaptic interconnections among neu
18#
發(fā)表于 2025-3-24 15:16:05 | 只看該作者
19#
發(fā)表于 2025-3-24 20:16:49 | 只看該作者
Hybrid Memristor-Based Impulsive Neural Networks,synchronization. The multisynchronization represents a diversified collective behavior that is inspired by multitasking as well as observations of heterogeneity and hybridity arising from system models. In view of memristor, the memristor-based impulsive neural network is first represented by an imp
20#
發(fā)表于 2025-3-25 00:20:24 | 只看該作者
Hybrid Impulsive and Switching Control and Its Application to Nonlinear Systems,r reviews the hybrid impulsive and switching control methods and their application to nonlinear systems. This chapter produces basic rules for designing hybrid impulsive and switching control that would be useful for the subsequent chapters.
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