ADAGE 发表于 2025-3-25 05:06:26

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Synthesize 发表于 2025-3-25 09:10:33

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Colonnade 发表于 2025-3-25 13:40:55

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等级的上升 发表于 2025-3-25 15:52:10

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DAMN 发表于 2025-3-25 23:24:05

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Meditate 发表于 2025-3-26 03:17:48

Stability of the random neural network model,odelling inhibitory and excitatory signals. They are summed at the input of each neuron and constitute its signal potential. The state of each neuron in this model is its signal potential, while the network state is the vector of signal potentials at each neuron. If its potential is positive, a neur

IRS 发表于 2025-3-26 07:12:38

Temporal pattern recognition using EBPS,eference to some simple examples of Temporal Pattern Recognition..It is shown that this network can learn features which are invariant under translation in time and that no temporal alignment of the inputs is required. The main concern of this paper is that the constraining of weights in full recurr

袖章 发表于 2025-3-26 10:51:35

,The “moving targets” training algorithm, with arbitrary feedback. The algorithm resembles back-propagation in that an error function is minimized using a gradient-based method, but the optimization is carried out in the hidden part of state space either instead of, or in addition to weight space. A straightforward adaptation of this metho

HUMID 发表于 2025-3-26 13:33:49

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存心 发表于 2025-3-26 17:50:28

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查看完整版本: Titlebook: Neural Networks; EURASIP Workshop 199 Luis B. Almeida,Christian J. Wellekens Conference proceedings 1990 Springer-Verlag Berlin Heidelberg