Bibliographic content of Neurocomputing, Volume 512.
Abstract. As the modern deep neural networks (DNNs) have become more and more large-scale and expensive, the topic of DNN compression grows into a hot ...
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Neurocomputing. visit. web page @ sciencedirect.com ... 512, 513, 514, 515; 2021: Volumes 419, 420, 421 ... Volume 74: 2010/2011 · Volume 73: 2009/2010 · Volume ...
In this paper, a generalized neutral-type neural networks with delays is studied. Some simple sufficient conditions are obtained for guaranteeing the existence, ...
The paper considers a class of nonsmooth neural networks where hard-limiter saturation nonlinearities are used to constrain solutions of a linear system with ...
We publicly release our code to the community. * Neurocomputing, Volume 512, Pages 235-252, 2022 * Keywords: Incremental learning, Active learning, Data ...
Mar 4, 2024 · Wan, W. et al. “A compute-in-memory chip based on resistive random-access memory,”. Nature 608, 504–512 (2022) ...
Jul 6, 2023 · GC, 512; PC, 512; DCN, 7. Open table in a new tab ... Volume 1. 2012: 873-882https://doi.org ... Deep neural networks with weighted spikes.
... 512(2), 1696-1709, 2022. J. Thiyagalingam , M ... Volume 2, Issue 1, 2021. . T. Hey, J. Thiyagalingam, M ... Neurocomputing, Volume 389, Pages 93-107, 2020. X ...
