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Titlebook: Computational Intelligence and Security; International Confer Yue Hao,Jiming Liu,Yong-Chang Jiao Conference proceedings 2005 Springer-Verla

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樓主: hedonist
41#
發(fā)表于 2025-3-28 17:20:14 | 只看該作者
42#
發(fā)表于 2025-3-28 21:36:31 | 只看該作者
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發(fā)表于 2025-3-28 23:47:33 | 只看該作者
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發(fā)表于 2025-3-29 06:34:21 | 只看該作者
45#
發(fā)表于 2025-3-29 08:56:28 | 只看該作者
Der Vollzugsablauf als Interaktionsprozess,iped robot by backpropagation algorithm offline. Simulation results show that the FWN controller can generate the gaits following the reference trajectories as close as possible, and the error compensation algorithm can decrease the error rapidly by iterative calculation.
46#
發(fā)表于 2025-3-29 12:55:52 | 只看該作者
An Improved Bayesian Network Learning Algorithm Based on Dependency Analysishms, divisions etc. and reduce the times of access to datasets to the minimum. Moreover, to efficiently calculate CMI, an efficient method for finding an approximate minimum cut-set is proposed in our algorithm. Experimental results show that under the same accuracy, our algorithm is much more efficient than J. Cheng’s algorithm.
47#
發(fā)表于 2025-3-29 15:42:33 | 只看該作者
Moderated Innovations in Self-poised Ensemble Learningavoid this, we propose to incorporate smoothing parameters which control the introduced level of innovation and can be characterized to avoid an explosive behavior of the algorithm. Our experimental results report the behavior of neural networks ensembles trained with the proposed algorithm in two real and well-known data sets.
48#
發(fā)表于 2025-3-29 23:14:32 | 只看該作者
An RLS-Based Natural Actor-Critic Algorithm for Locomotion of a Two-Linked Robot Armmethod is employed in order to make the parameter estimation for the value functions more efficient. The studied algorithm was applied to locomotion of a two-linked robot arm, and showed better performance compared to the conventional stochastic gradient ascent algorithm.
49#
發(fā)表于 2025-3-30 03:29:20 | 只看該作者
50#
發(fā)表于 2025-3-30 07:55:51 | 只看該作者
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