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標(biāo)題: Titlebook: Neural Networks with Discontinuous/Impact Activations; Marat Akhmet,Enes Y?lmaz Book 2014 Springer Science+Business Media New York 2014 Ar [打印本頁]

作者: 難受    時間: 2025-3-21 20:09
書目名稱Neural Networks with Discontinuous/Impact Activations影響因子(影響力)




書目名稱Neural Networks with Discontinuous/Impact Activations影響因子(影響力)學(xué)科排名




書目名稱Neural Networks with Discontinuous/Impact Activations網(wǎng)絡(luò)公開度




書目名稱Neural Networks with Discontinuous/Impact Activations網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Neural Networks with Discontinuous/Impact Activations被引頻次




書目名稱Neural Networks with Discontinuous/Impact Activations被引頻次學(xué)科排名




書目名稱Neural Networks with Discontinuous/Impact Activations年度引用




書目名稱Neural Networks with Discontinuous/Impact Activations年度引用學(xué)科排名




書目名稱Neural Networks with Discontinuous/Impact Activations讀者反饋




書目名稱Neural Networks with Discontinuous/Impact Activations讀者反饋學(xué)科排名





作者: 刪減    時間: 2025-3-21 22:12
Neural Networks with Discontinuous/Impact Activations
作者: Matrimony    時間: 2025-3-22 04:06

作者: Paradox    時間: 2025-3-22 06:43

作者: AGATE    時間: 2025-3-22 11:23
Equilibria of Neural Networks with Impact Activations and Piecewise Constant Argument,neural networks and (., .)?type neural networks, respectively. For these types, sufficient conditions for existence of a unique equilibrium are obtained, existence and uniqueness of solutions and an equivalence lemma for such systems are established, and stability criterion for the equilibrium based
作者: 革新    時間: 2025-3-22 15:44
The Method of Lyapunov Functions: RNNs,of RNNs. The model involves alternating argument. Sufficient conditions are obtained for global exponential stability of the equilibrium point. Examples with numerical simulations are presented to illustrate the results.
作者: 紅腫    時間: 2025-3-22 19:42

作者: 泥沼    時間: 2025-3-22 22:03
2195-9994 ually observed in devices modeling the networks. A discussion of the models, appropriate for the proposed applications, is also provided..978-1-4939-4598-6978-1-4614-8566-7Series ISSN 2195-9994 Series E-ISSN 2196-0003
作者: engrave    時間: 2025-3-23 03:38
2195-9994 l equations with impulsive and piecewise constant argument d.This book presents as its main subject new models in mathematical neuroscience. A wide range of neural networks models with discontinuities are discussed, including impulsive differential equations, differential equations with piecewise co
作者: 欄桿    時間: 2025-3-23 07:34
Book 2014ssed, including impulsive differential equations, differential equations with piecewise constant arguments, and models of mixed type. These models involve discontinuities, which are natural because huge velocities and short distances are usually observed in devices modeling the networks. A discussio
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作者: 考博    時間: 2025-3-23 14:49

作者: Gossamer    時間: 2025-3-23 20:12
978-1-4939-4598-6Springer Science+Business Media New York 2014
作者: 最低點(diǎn)    時間: 2025-3-24 00:54

作者: 飲料    時間: 2025-3-24 04:50

作者: CLAMP    時間: 2025-3-24 07:01
https://doi.org/10.1007/978-1-4614-8566-7Artificial Intelligence; Chaotic Neural Networks; Cohen-Grossberg Neural Networks; Computational Neural
作者: 混沌    時間: 2025-3-24 12:57
Marat Akhmet,Enes Y?lmazExplores questions related to the biological underpinning for models of neural networks.Considers neural networks modeling using differential equations with impulsive and piecewise constant argument d
作者: Encumber    時間: 2025-3-24 16:19

作者: STIT    時間: 2025-3-24 21:15
Periodic Motions and Equilibria of Neural Networks with Piecewise Constant Argument,In this chapter we consider Hopfield-type neural networks systems with piecewise constant argument of generalized type. Sufficient conditions for the existence of a unique equilibrium and a periodic solution are obtained. The stability of these solutions is investigated.
作者: 保留    時間: 2025-3-25 00:42
Periodic Motions of Neural Networks with Impact Activations and Piecewise Constant Argument,In this chapter we derive some sufficient conditions for the existence and stability of periodic solutions for each (., .)-type neural networks and (., .)-type neural networks, respectively. Examples with numerical simulations are given to illustrate our results.
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作者: Aphorism    時間: 2025-3-25 15:37

作者: inventory    時間: 2025-3-25 19:15
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