plasma 发表于 2025-3-23 11:47:47

National Socialism and Social Capital,imation. On the one hand, the Slave-ADALINE applies the fixed and larger step-size least mean square algorithm to accelerate the convergence speed of weights. On the other hand, the Master-ADALINE follows least mean square with a variable step-size factor to achieve the minimum of steady-state error

可卡 发表于 2025-3-23 17:36:05

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municipality 发表于 2025-3-23 20:45:07

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CLAIM 发表于 2025-3-23 23:17:40

https://doi.org/10.1007/978-1-349-14514-0tain amount of power so that the combined power from the wind farm is able to meet the total power demand. For such power tracking control problem, the precise total demanded power is unavailable and there involve modeling uncertainties as well as external disturbances. To address the issue of unkno

Moderate 发表于 2025-3-24 03:52:49

Communists in the Face of Fascists,zed policy iteration adaptive dynamic programming algorithm, is applied to deal with the problem of optimal control. To achieve this goal, we use two neural networks to approximate control vectors and performance index function. Finally, this paper focuses on an example simulated on Matlab, which ve

学术讨论会 发表于 2025-3-24 06:53:27

Communists and National Socialiststy to the fuzzy version, some new criteria are established for the exponential stability of network under consideration. The results obtained improve some related works in previous literature. A numerical example is given to illustrate the effectiveness of the theoretical methods.

孵卵器 发表于 2025-3-24 14:45:51

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注意 发表于 2025-3-24 16:33:53

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keloid 发表于 2025-3-24 19:19:45

Communists and National Socialistsown kinetics stems from parametric model uncertainty, unmodelled hydrodynamics, and environmental forces due to wind, waves and ocean currents. By approximating the unknown kinetics using neural networks, a bounded kinetic control law is proposed based on a saturated function, with the main advantag

ADORE 发表于 2025-3-25 01:29:49

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查看完整版本: Titlebook: Advances in Neural Networks - ISNN 2017; 14th International S Fengyu Cong,Andrew Leung,Qinglai Wei Conference proceedings 2017 Springer Int