勉励 发表于 2025-3-27 00:43:23
http://reply.papertrans.cn/43/4252/425125/425125_31.png有机体 发表于 2025-3-27 04:47:51
The Negative Feedback NetworkComponent network which needs no weight decay in its learning rule: because of the negative feedback of activation, we can use simple Hebbian learning which will not cause instability in the weight growth process and which moreover causes the weights to converge to the Principal Components of the inAMPLE 发表于 2025-3-27 09:04:23
http://reply.papertrans.cn/43/4252/425125/425125_33.pngobsolete 发表于 2025-3-27 13:11:17
http://reply.papertrans.cn/43/4252/425125/425125_34.pnghereditary 发表于 2025-3-27 13:35:57
http://reply.papertrans.cn/43/4252/425125/425125_35.pnglipids 发表于 2025-3-27 20:29:02
Topology Preserving Mapsed in signal processing applications to encode a high-dimensional signal in order to minimise processing/transmission costs. The basic aim is to associate with each group of vectors of the raw data a code which uniquely identifies that group. If the vectors of the group are sufficiently alike and th光明正大 发表于 2025-3-28 01:27:09
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Two Neural Networks for Canonical Correlation Analysismonstrate the network’s capabilities on artificial data and then compare its effectiveness with that of a standard statistical method on real data. We demonstrate the capabilities of the network in certain situations where standard statistical techniques are not effective, for example where we haveDiluge 发表于 2025-3-28 09:30:25
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