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Titlebook: Neural Networks in Telecommunications; Ben Yuhas,Nirwan Ansari Book 1994 Springer Science+Business Media New York 1994 ATM.Routing.Switchi

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11#
發(fā)表于 2025-3-23 12:39:04 | 只看該作者
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發(fā)表于 2025-3-23 14:44:04 | 只看該作者
Introduction,s and can provide a natural path to efficient hardware implementation. In addition, their ability to learn allows them to be used on problems where there are no straightforward heuristic or rule-based solutions. Together these capabilities allow neural networks to offer unique solutions to problems in telecommunications.
13#
發(fā)表于 2025-3-23 21:55:28 | 只看該作者
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發(fā)表于 2025-3-24 01:20:27 | 只看該作者
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發(fā)表于 2025-3-24 11:21:05 | 只看該作者
then review the bases of the determination and analysis, in terms of local motions, of the spectrum line shape, proton-carbon dipolar interactions, chemical-shift anisotropies, relaxation times and line widths. A large part of the chapter will be devoted to the description of studies that demonstra
18#
發(fā)表于 2025-3-24 17:57:33 | 只看該作者
19#
發(fā)表于 2025-3-24 19:17:54 | 只看該作者
Neural Networks for Switching,nodes; and switching of data within nodes. We assume data can be transported into and out of a node and that data enters a node knowing which output it needs and focus on problems controlling the switching within nodes.
20#
發(fā)表于 2025-3-25 01:27:31 | 只看該作者
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