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Titlebook: Artificial Neural Nets and Genetic Algorithms; Proceedings of the I Andrej Dobnikar,Nigel C. Steele,Rudolf F. Albrecht Conference proceedin

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樓主: Falter
21#
發(fā)表于 2025-3-25 03:58:29 | 只看該作者
22#
發(fā)表于 2025-3-25 10:33:07 | 只看該作者
On-line Learning of Object Representations procedure, where the network is constructed after having a complete set of training views of an object, and the “on-line” procedure, where the network is incrementally built as new views of an object arrive.
23#
發(fā)表于 2025-3-25 15:26:40 | 只看該作者
24#
發(fā)表于 2025-3-25 17:50:52 | 只看該作者
25#
發(fā)表于 2025-3-25 20:21:56 | 只看該作者
The Story Has Been Told, What Next?,methods in the case that the related unknown system is nonlinear or non-minimum phase and in the case that the length of the learning system does not fit the length of the unknown system. It can then serve as an alternative tool for many applications of noise rejection and this was confirmed by the simulations results.
26#
發(fā)表于 2025-3-26 02:45:37 | 只看該作者
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發(fā)表于 2025-3-26 07:26:36 | 只看該作者
28#
發(fā)表于 2025-3-26 08:49:24 | 只看該作者
A Neural Network Based Nonlinear Temporal-Spatial Noise Rejection Systemmethods in the case that the related unknown system is nonlinear or non-minimum phase and in the case that the length of the learning system does not fit the length of the unknown system. It can then serve as an alternative tool for many applications of noise rejection and this was confirmed by the simulations results.
29#
發(fā)表于 2025-3-26 16:06:19 | 只看該作者
30#
發(fā)表于 2025-3-26 19:52:39 | 只看該作者
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