Bucket 发表于 2025-3-25 07:08:21
http://reply.papertrans.cn/67/6637/663694/663694_21.pngpeak-flow 发表于 2025-3-25 11:28:26
http://reply.papertrans.cn/67/6637/663694/663694_22.png清澈 发表于 2025-3-25 14:43:51
http://reply.papertrans.cn/67/6637/663694/663694_23.pngBlatant 发表于 2025-3-25 15:48:37
http://reply.papertrans.cn/67/6637/663694/663694_24.png手段 发表于 2025-3-25 22:17:01
http://reply.papertrans.cn/67/6637/663694/663694_25.pngarousal 发表于 2025-3-26 03:53:37
http://reply.papertrans.cn/67/6637/663694/663694_26.png收到 发表于 2025-3-26 04:45:38
Coupled Neural Networksns. On the other hand, any general “recurrent” neural network can be considered to be represented by a feed-forward perceptron, albeit one with possibly very many layers. The reason for this strange equivalence is that the temporal evolution (3.5) of an arbitrary network constructed from binary neur存心 发表于 2025-3-26 09:13:33
Unsupervised Learningt has a number of rather unrealistic aspects, especially concerning the comparison with biological nerve nets. It is particularly troublesome in this respect: that complete knowledge of the deviation of the output from the desired reaction is required to determine the adjustment even of neurons in hRLS898 发表于 2025-3-26 14:03:57
Statistical Physics and Spin Glassestic system characterized by a lattice of discrete spin variables .. = ±1. Such systems are known under the name .. If the spin—spin interaction, i.e. the coupling coefficients .., extend over large distances and take on irregular values one speaks of a .. The peculiar properties of such spin glassesFLIRT 发表于 2025-3-26 16:52:15
http://reply.papertrans.cn/67/6637/663694/663694_30.png