不知疲倦 发表于 2025-3-30 09:33:05
Analog VLSI Neural Learning Circuits — A Tutorialsystems. We do not cover the wider topic of analog VLSI neural networks in general, but restrict the presentation to circuits which perform in situ learning. Both supervised and unsupervised learning models are included.抑制 发表于 2025-3-30 13:25:23
An Analog CMOS Implementation of a Kohonen Network with Learning Capabilityave been successfully used to solve various problems in fields like image processing or robot control. Unfortunately, although the task each cell has to accomplish is rather simple, computing time of software simulations becomes prohibitive as the size of a network increases. For real-time applicatiGrasping 发表于 2025-3-30 20:18:44
Back-Propagation Learning Algorithms for Analog VLSI Implementationdvocates of digital VLSI NNs (D VNNs) (Ramacher, 1991) claim the higher computational accuracy, noise immunity and speed of digital implementations. On the other hand, analog VLSI NNs (AVNNs) are more closely related to the biological models and are better suited to exploit innovative circuit soluti思想上升 发表于 2025-3-31 00:25:55
An Analog Implementation of the Boltzmann Machine with Programmable Learning Algorithmsinsufficient, few analog integrated circuits have been realized for these algorithms, because neither their implementation nor their parallelization are obvious. On the other hand, Boltzmann Machines (Hinton et Sejnowski 1984) show a number of very attractive features, including high recognition rat懦夫 发表于 2025-3-31 00:59:26
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