書目名稱Advances in Neural Networks - ISNN 2004影響因子(影響力)學(xué)科排名
書目名稱Advances in Neural Networks - ISNN 2004網(wǎng)絡(luò)公開度
書目名稱Advances in Neural Networks - ISNN 2004網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Neural Networks - ISNN 2004被引頻次
書目名稱Advances in Neural Networks - ISNN 2004被引頻次學(xué)科排名
書目名稱Advances in Neural Networks - ISNN 2004年度引用
書目名稱Advances in Neural Networks - ISNN 2004年度引用學(xué)科排名
書目名稱Advances in Neural Networks - ISNN 2004讀者反饋
書目名稱Advances in Neural Networks - ISNN 2004讀者反饋學(xué)科排名
作者: Autobiography 時(shí)間: 2025-3-21 22:28 作者: flourish 時(shí)間: 2025-3-22 02:37 作者: 沉思的魚 時(shí)間: 2025-3-22 04:46
Analysis for Global Robust Stability of Cohen-Grossberg Neural Networks with Multiple Delaysinteraction Hamiltonian matrix . that couples two states . and .. Group theory is often invoked to decide whether or not these states are indeed coupled and this is done by testing whether or not the matrix element (.,.) vanishes by symmetry. The simplest case to consider is the one where the pertur作者: 執(zhí) 時(shí)間: 2025-3-22 09:45 作者: integral 時(shí)間: 2025-3-22 16:39 作者: Chronic 時(shí)間: 2025-3-22 20:06
Approximation Bounds by Neural Networks in?, , , [-4pt] time estimating and work planning; as the basis for computer-aided process planning (CAPP) systems; in production, as the underlying principle of cellular manufacturing systems, etc. Group Technology forms the basis for the development of flexible automation and computer integrated manufacturing.作者: vitreous-humor 時(shí)間: 2025-3-22 22:18
On Robust Periodicity of Delayed Dynamical Systems with Time-Varying Parametersat purpose. Finally, by realizing collective states on many-particle (shell-model) state space in this way one is enabled to exploit the much larger algebra of all many-particle observables to probe the currents and other dynamical properties of collective states which the collective models, in them作者: Hyperlipidemia 時(shí)間: 2025-3-23 03:44
Criteria for Stability in Neural Network Models with Iterative Mapsetermined and classified. Some conclusions are drawn concerning the properties of the corresponding covariant equations of motion and a group theoretical definition of an elementary particle in interaction with such a field is proposed (The special case of zero field reduces of course to the known r作者: Arbitrary 時(shí)間: 2025-3-23 05:56
Analysis for Global Robust Stability of Cohen-Grossberg Neural Networks with Multiple Delaysons . and . to be eigenfunctions for the unperturbed Hamiltonian, which are basis functions for irreducible representations of the group of Schr?dinger’s equation. Here . transforms according to an irreducible representation of the group of Schr?dinger’s equation. This product involves the direct pr作者: –吃 時(shí)間: 2025-3-23 13:19
On Robust Stability of BAM Neural Networks with Constant Delaysrepresentations. The results are applied to chemical reaction theory, and to the theory of the Jahn–Teller effect. Selection rules are illustrated for linear and circular dichroism. Finally, the polyhedral Euler theorem is introduced and applied to valence-bond theory for clusters.作者: ABOUT 時(shí)間: 2025-3-23 15:30
Absolutely Exponential Stability of BAM Neural Networks with Distributed Delaysrepresentations. The results are applied to chemical reaction theory, and to the theory of?the Jahn–Teller effect. Selection rules?are illustrated for linear and circular dichroism. Finally, the polyhedral Euler theorem?is introduced and applied to valence-bond theory for clusters.作者: 輕信 時(shí)間: 2025-3-23 18:37 作者: Unsaturated-Fat 時(shí)間: 2025-3-24 01:07 作者: 高度贊揚(yáng) 時(shí)間: 2025-3-24 06:18
Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural NetworksOverview: 作者: Inflammation 時(shí)間: 2025-3-24 10:22 作者: CAGE 時(shí)間: 2025-3-24 13:58 作者: CAPE 時(shí)間: 2025-3-24 16:07 作者: SPECT 時(shí)間: 2025-3-24 22:05
Stability Analysis of Uncertain Neural Networks with DelayOverview: 作者: 基因組 時(shí)間: 2025-3-25 02:33
A New Method for Robust Stability Analysis of a Class of Recurrent Neural Networks with Time DelaysOverview: 作者: 抱狗不敢前 時(shí)間: 2025-3-25 04:04 作者: 貪婪地吃 時(shí)間: 2025-3-25 10:12 作者: Stress-Fracture 時(shí)間: 2025-3-25 14:14 作者: 現(xiàn)暈光 時(shí)間: 2025-3-25 15:51 作者: antecedence 時(shí)間: 2025-3-25 22:46 作者: 仔細(xì)檢查 時(shí)間: 2025-3-26 03:18 作者: Assault 時(shí)間: 2025-3-26 06:16 作者: inflame 時(shí)間: 2025-3-26 10:58 作者: 保全 時(shí)間: 2025-3-26 16:42
Criticisms of Communitarian Ideas,k deals with the search of an optimal topology, varying the (small-world) parameters: the average connectivity . ranges from the fully linked to a extremely diluted network; the randomness . ranges from purely neighbor links to a completely random network. The network capacity is measured by the mut作者: 毀壞 時(shí)間: 2025-3-26 18:30 作者: Hearten 時(shí)間: 2025-3-27 01:03
https://doi.org/10.1007/978-1-349-26489-6The complexities of the PCNN’s structure and its dynamical behaviors limit its application so simplification of PCNN is necessary. We have used simplified PCNNs to efficiently process image. In this paper dynamical behaviors of simplified PCNNs under certain conditions are analyzed in detail and we 作者: 制度 時(shí)間: 2025-3-27 01:45 作者: WATER 時(shí)間: 2025-3-27 07:48
Textbook Feb 1994Latest edition and investigate their robust stability of the equilibrium point for this system. A new method to analyze the robust stability under disturbance of structure of recurrent neural networks with time delays is presented, and a sufficient condition guaranteeing the robust stability is derived, which pro作者: 樹上結(jié)蜜糖 時(shí)間: 2025-3-27 11:35
https://doi.org/10.1007/978-1-349-23256-7ing, bursting or tonic bursting and with an affordable computational effort. In this work we explore by means of the use of Lyapunov ”energy” functions the asymptotic behavior of a set of coupled neurons where each neuron is modelled by an iterative map. The method here developed allows to establish作者: anus928 時(shí)間: 2025-3-27 13:57
Narayan Prasad Khanal,Keshav Lall Maharjanr the stability of such system with a certain deviation rate have been reported in the literature. In this paper, we present a simple delayed neural network model, in which each parameter deviates the reference point with a rate, and further investigate the robust exponential stability of this model作者: Analogy 時(shí)間: 2025-3-27 21:31
https://doi.org/10.1007/978-94-017-0115-0 present several sufficient conditions which guarantee the asymptotic stability. Since these conditions do not impose differentiability on delay function, they are less conservative than some established in the earlier references. The results show that this approach is more straightforward and effec作者: 不能強(qiáng)迫我 時(shí)間: 2025-3-27 23:20 作者: B-cell 時(shí)間: 2025-3-28 05:19
https://doi.org/10.1057/9781403981356ditions for the globally asymptotic stability of equilibrium point are given by way of constructing a suitable Lyapunov functional. Combined with the linear matrix inequality (LMI) technique, a practical corollary is derived. All results are established without assuming any symmetry of the interconn作者: 和平主義者 時(shí)間: 2025-3-28 08:49 作者: JADED 時(shí)間: 2025-3-28 12:51 作者: Obvious 時(shí)間: 2025-3-28 16:53
978-3-540-22841-7Springer-Verlag Berlin Heidelberg 2004作者: Lobotomy 時(shí)間: 2025-3-28 19:58
https://doi.org/10.1057/9781137016423In this paper, we discuss delayed neural networks, investigating the global exponential stability of their equilibria. Delay- dependent criteria ensuring global stability are given. A numerical example illustrating the dependence of stability on the delays is presented.作者: 改進(jìn) 時(shí)間: 2025-3-29 01:43 作者: Promotion 時(shí)間: 2025-3-29 05:21
Zakaria Amidu Issahaku,Keshav Lall MaharjanA system of .-units neural network with coupled cells is investigated, the local stability of null solution is considered, and the parameter values of the periodic solution bifurcation are given.作者: CHIP 時(shí)間: 2025-3-29 08:58 作者: cinder 時(shí)間: 2025-3-29 12:21
Communities and Technologies 2007Almost sure stability and instability of stochastic Cohen–Grossberg neural networks are addressed in this paper. Our results can be used as theoretic guidance to stabilize neural networks in practical applications when stochastic noise is take into consideration.作者: surrogate 時(shí)間: 2025-3-29 15:41
Peter Pericles Trifonas,Effie BalomenosSome novel criteria are obtained for checking the absolute stability of the equilibrium point for bidirectional associative memory networks with distributed delays, where the activation functions only need to be partially Lipschitz continuous, but not bounded or differentiable.作者: Lethargic 時(shí)間: 2025-3-29 21:48
Advances in Neural Networks - ISNN 2004978-3-540-28647-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 可以任性 時(shí)間: 2025-3-30 03:39
Re-mapping the Ideological Battleground,nder the Orthogonal polynomials basis and certain assumptions of activation functions in the neural network, the upper bounds on the degree of approximation are obtained in the class of functions considered in this paper. The order of approximation .. being dimension, . the number of hidden neurons, and . the natural number.作者: 聚集 時(shí)間: 2025-3-30 07:20 作者: 樂意 時(shí)間: 2025-3-30 11:07 作者: archaeology 時(shí)間: 2025-3-30 12:40 作者: Opponent 時(shí)間: 2025-3-30 17:07 作者: Orchiectomy 時(shí)間: 2025-3-30 23:12 作者: 就職 時(shí)間: 2025-3-31 01:13
0302-9743 Dalian, Liaoning, China during August 19–21, 2004. ISNN 2004 received over 800 submissions from authors in ?ve continents (Asia, Europe, North America, South America, and Oceania), and 23 countries and regions (mainland China, Hong Kong, Taiwan, South Korea, Japan, Singapore, India, Iran, Israel, T作者: 制造 時(shí)間: 2025-3-31 06:52 作者: chiropractor 時(shí)間: 2025-3-31 12:22 作者: Stricture 時(shí)間: 2025-3-31 15:35 作者: 過分 時(shí)間: 2025-3-31 18:19
Textbook Feb 1994Latest editionructure of recurrent neural networks with time delays is presented, and a sufficient condition guaranteeing the robust stability is derived, which provides the theoretical basis for designing a system.作者: certain 時(shí)間: 2025-3-31 23:24
https://doi.org/10.1007/978-1-349-23256-7s the asymptotic behavior of a set of coupled neurons where each neuron is modelled by an iterative map. The method here developed allows to establish conditions on the parameters of the system to achieve asymptotic stability and can be applied to different models both of neurons and network topologies.作者: 束以馬具 時(shí)間: 2025-4-1 04:18 作者: 前奏曲 時(shí)間: 2025-4-1 08:57 作者: 輕推 時(shí)間: 2025-4-1 12:11
https://doi.org/10.1057/9781403981356linear matrix inequality (LMI) technique, a practical corollary is derived. All results are established without assuming any symmetry of the interconnecting matrix, and the differentiability and monotonicity of activation functions.作者: 芳香一點(diǎn) 時(shí)間: 2025-4-1 15:35
Conference proceedings 20041, 2004. ISNN 2004 received over 800 submissions from authors in ?ve continents (Asia, Europe, North America, South America, and Oceania), and 23 countries and regions (mainland China, Hong Kong, Taiwan, South Korea, Japan, Singapore, India, Iran, Israel, Turkey, H- gary, Poland, Germany, France, Be作者: mechanism 時(shí)間: 2025-4-1 18:33 作者: 包租車船 時(shí)間: 2025-4-2 00:34
10樓作者: adequate-intake 時(shí)間: 2025-4-2 05:43
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