Results 41 to 50 of about 92,175 (266)
Quasi-Recurrent Neural Networks
CoRR, 2016 Submitted to conference track at ICLR ...
James Bradbury 0002 +3 more
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A new approach to seasonal energy consumption forecasting using temporal convolutional networks
Results in Engineering, 2023 There has been a significant increase in the attention paid to resource management in smart grids, and several energy forecasting models have been published in the literature.
Abdul Khalique Shaikh +4 more
doaj +1 more source
Bayesian Recurrent Neural Networks
CoRR, 2017 In this work we explore a straightforward variational Bayes scheme for Recurrent Neural Networks. Firstly, we show that a simple adaptation of truncated backpropagation through time can yield good quality uncertainty estimates and superior regularisation at only a small extra computational cost during training, also reducing the amount of parameters by
Meire Fortunato +2 more
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IEEE Access, 2020 In this paper, ultrasound imaging of benign and malignant thyroid nodules to predict the depth of the learning algorithm, built on circulation volume product thyroid ultrasound image neural network forecasting model.
Yinghui Lu, Yi Yang, Wan Chen
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Компютерні системи та інформаційні технології, 2023 The connectionist-metaheuristic approach solved the urgent task of using new approaches to analyze the foreign direct investment and macroeconomic indicators that affect the volume of their attraction to a particular country in the world economy.
Maryna LESHCHENKO +3 more
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Network of Recurrent Neural Networks
CoRR, 2017 Under review as a conference paper at AAAI ...
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Quaternion Recurrent Neural Networks
CoRR, 2018 ICLR Update - Full ...
Parcollet, Titouan +6 more
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Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classification
IEEE Access, 2021 A novel and efficient end-to-end learning model for automatic modulation classification is proposed for wireless spectrum monitoring applications, which automatically learns from the time domain in-phase and quadrature data without requiring the design ...
Kaisheng Liao +4 more
doaj +1 more source
Relational recurrent neural networks
CoRR, 2018 Memory-based neural networks model temporal data by leveraging an ability to remember information for long periods. It is unclear, however, whether they also have an ability to perform complex relational reasoning with the information they remember.
Adam Santoro +9 more
openaire +3 more sources