gratify
发表于 2025-3-27 00:44:01
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ELUC
发表于 2025-3-27 01:12:01
based on mutual information and extreme learning machines is proposed in this paper. Simple mutual information based feature selection method is integrated with the fast learning kernel based extreme learning machines to obtain better modeling performance. In the method, optimal number of the featur
CHAR
发表于 2025-3-27 07:08:33
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defray
发表于 2025-3-27 09:36:15
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激怒
发表于 2025-3-27 17:37:23
Franz Häuseron unknown functions of the master system, an adaptive neural synchronization scheme is proposed with the combination of backstepping technique and dynamic surface control (DSC). This proposed method, similar to backstepping but with an important addition, can overcome the “explosion of complexity”
剥皮
发表于 2025-3-27 20:12:21
Matthias Casperthe T-S fuzzy system using ellipsoidal basis functions. The salient characteristics of this approach are as follows: 1) A novel structure learning algorithm incorporating a pruning strategy into new growth criteria is developed. 2) Compact fuzzy rules can be extracted from training data. 3) The line
Host142
发表于 2025-3-28 00:01:44
Martin Tonnered neural network. By applying feedback control on a small fraction of network nodes with the dynamical feedback gains turning adaptively and combining the Lyapunov function method, an easy-to-verify sufficient condition is derived for globally asymptotically synchronization for the coupled network.
细丝
发表于 2025-3-28 04:10:17
Walter Rudolf,Katja Kötterheinrichof firing activity followed a power law and the firing pattern was accompanied by nested .-and .-/.-oscillations. These results provided important evidence that neural oscillations could be formed during neuronal avalanches. The relationship between neuronal avalanches and oscillations has not been
种族被根除
发表于 2025-3-28 09:04:08
Michael Beckhusenr systems in the presence of wind turbines and generation rate constraint (GRC). Neural networks are adopted to compensate the entire uncertainties. Simulation results show the validity and robustness of the presented method.
歌剧等
发表于 2025-3-28 13:41:42
Stefan Frisch this paper. Only one NN (neural network) approximator is used to tackle unknown nonlinear functions at the last step and only one actual control law and one adaptive law are contained in the designed controller. This approach simplifies the controller design and alleviates the computational burden.