18 eredmény a kulcsszóra: 'long short term memory recurrent neural networks'
In this paper, we apply multivariate long-short term memory recurrent neural networks (LSTM- RNN) [6] to forecast resource usage parameters (CPU usage(%), memory usage(%),
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Whereas several researchers applied artificial intelligence to predict lead times or transition times to improve the planning reliability, only small efforts have been taken on
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Long Short-Term Memory (LSTM) [10] is a recurrent neural network architecture which has been applied for sequence analysis such as language models and text prediction to learn
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Taken together, the 2NCP improves spatial memory and learning, short- and long-term memory,markedly inhibits cholinesterases, reduced neuroinflammation, and mitigated oxidative
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Based on these pilot results, in the main experiments aimed at testing the ability to store facial emotional expressions and facial identity in visual short term memory, we
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I have shown that people posses a high-fidelity visual short- term memory for facial emotional expression and identity, since emotion discrimination is not impaired when the faces to
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Based on these pilot results, in the main experiments aimed at testing the ability to store facial emotional expressions and facial identity in visual short term memory, we
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Under the sustainability today, almost everyone understands the environmentally friendly use of energy-efficient solutions, which are alternatives to private transport
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Inspired by the biological concept of ”long/short term memory” of human beings, we propose a novel dual Gaus- sian process (DGP) structure based model predictive con- troller
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Short and Long-Term Effect of Non-Pharmacological Rate Control of Atrial Fibrillation Reflected by Endogenous Peptide Serum Level Changes Compared to the results obtained in the
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An efficient distributed MPC design has been elaborated for urban road traffic control. The proposed technique is a traffic-responsive signal control, appli- cable in urban traffic
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Capital market is imperfect: share price depends on short-term profit (not long-term prospects) => incentives for management are also short term.. Division of power within
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This work develops an Artificial Cognitive System (ACS) based on Recurrent Neural Networks that analyzes suitable features of the audio channel in order to
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We can observe that the performance of the feedback Jaccard similarity based Fisher embedding in combination with the Gru4Rec network performs similar to the dynamically learned
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As short-term financed firms have higher target leverage levels, there are cash flow values y i,t for which short-term financed firms issue debt, while long-term financed firms
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- We found both long-term (on a time-scale of months / years) and short-term quasi-periodic (with a period of ∼ 5 days) brightness variations. At optical wavelengths both the
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