Results 151 to 160 of about 117,260 (178)
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BP neural network PID controller of pocket dropout
2015 IEEE International Conference on Computer and Communications (ICCC), 2015The loss of data packets affects seriously the stability of control system in modern network. This article mainly for the problem of packet loss uses a randomly distributed variable satisfying Bernoulli to describe the data loss during transmission, and then establishes a random and non-linear input model. A PID controller based on BP neural network is
Shuangxi Jing +3 more
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Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks
2019Using artificial neural networks for forecasting tasks is a popular approach that has proven to be very accurate. When used to estimate prediction intervals, a normal distribution is usually assumed as the data noise uncertainty term, as in MVE networks, while model parameters uncertainty is often ignored.
Cristián Serpell +3 more
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
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Noise Control Using Neural Networks with Dropout
The Proceedings of the Dynamics & Design Conference, 2016Toshiki MAEDA, Toshihiko SHIRAISHI
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Supervision dropout: guidance learning in deep neural network
Multimedia Tools and Applications, 2022Liang Zeng +4 more
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Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma
Ca-A Cancer Journal for Clinicians, 2020Aaron J Grossberg +2 more
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Oral complications of cancer and cancer therapy
Ca-A Cancer Journal for Clinicians, 2012Joel B Epstein +2 more
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American Cancer Society Head and Neck Cancer Survivorship Care Guideline
Ca-A Cancer Journal for Clinicians, 2016Nader Sadeghi +2 more
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