A modeling and optimization method for heterogeneous objects based on complex networks theory
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-1378-2
Abstract: Heterogeneous objects (HEO) which refer to product models with spatially different material compositions or structures have attracted extensive attention from different disciplines due to emerging techniques in design and manufacturing in the last decade. The… read more here.
Keywords: heterogeneous objects; modeling optimization; based complex; networks theory ... See more keywords
Fast Sparse Deep Neural Networks: Theory and Performance Analysis
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DOI: 10.1109/access.2019.2920688
Abstract: In this paper, fast sparse deep neural networks that aim to offer an alternative way of learning in a deep structure are proposed. We examine some optimization algorithms for traditional deep neural networks and find… read more here.
Keywords: sparse deep; performance; deep neural; neural networks ... See more keywords
The Theory of Alpha Oscillations in Attractor Networks
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DOI: 10.1111/ejn.70311
Abstract: Alpha oscillation activity (8–12 Hz) characterizes the awake resting state of the brain. However, changes in alpha oscillations have also been linked to a wide range of cognitive processes, suggesting their functional relevance. In this article,… read more here.
Keywords: networks theory; theory alpha; attractor networks; oscillations attractor ... See more keywords