Results 11 to 20 of about 234,090 (282)
Neural Bayesian Network Understudy
, 2022 Bayesian Networks may be appealing for clinical decision-making due to their inclusion of causal knowledge, but their practical adoption remains limited as a result of their inability to deal with unstructured data. While neural networks do not have this limitation, they are not interpretable and are inherently unable to deal with causal structure in ...
Rabaey, Paloma +2 more
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Bayesian regularized NAR neural network based short-term prediction method of water consumption [PDF]
E3S Web of Conferences, 2019 With the continuous construction of urban water supply infrastructure, it is extremely urgent to change the management mode of water supply from traditional manual experience to modern and efficient means. The water consumption forecast is the premise of
Liu Jianyu, Zhao Linxue, Mao Yanlong
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Thermal Error Model of Linear Motor Feed System Based on Bayesian Neural Network
IEEE Access, 2021 The linear motor feed system has been in service in complex working conditions for a long time, thus causing the nonuniform distribution of the temperature field distribution.
Shengsen Liu +4 more
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Micromachines, 2023 Microsystems are widely used in 5G, the Internet of Things, smart electronic devices and other fields, and signal integrity (SI) determines their performance.
Guangbao Shan +5 more
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Nature Communications, 2023 Safety-critical sensory applications, like medical diagnosis, demand accurate decisions from limited, noisy data. Bayesian neural networks excel at such tasks, offering predictive uncertainty assessment.
Djohan Bonnet +12 more
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Compressed CNN Plant Leaf Ｒecognition Model Fused with Bayesian
Journal of Harbin University of Science and Technology, 2021 Aiming at the problem that there are many parameters in the process of plant leaf recognition and it is easy to produce over-fitting，in order to reduce the cost of storage and calculation，this paper proposes a plant leaf recognition convolutional ...
YAN Ming, ZHU Liang-kuan, JING Wei-peng
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Bayesian Neural Networks for Aroma Classification [PDF]
Journal of Chemical Information and Computer Sciences, 2002 Bayesian Neural Networks (BNNs) are investigated to test their potential to distinguish between different aroma impressions. Special attention is thereby drawn on mixed aroma impressions, resulting from the flavor description of a single compound with more than one aroma quality.
Klocker, Johanna +3 more
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Bayesian Deep Neural Network to Compensate for Current Transformer Saturation
IEEE Access, 2021 Current transformer saturation has a negative effect on the operation of IEDs, resulting in their malfunction. Here, we present a technique to compensate for saturated waveforms using Bayesian Deep Neural Network (BDNN) comprising Deep Neural Network ...
Sopheap Key +3 more
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Non-linear carbon dioxide determination using infrared gas sensors and neural networks with Bayesian regularization [PDF]
, 2009 Carbon dioxide gas concentration determination using infrared gas sensors combined with Bayesian regularizing neural networks is presented in this work.
Almeida +27 more
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Winsorization for Robust Bayesian Neural Networks [PDF]
Entropy, 2021 With the advent of big data and the popularity of black-box deep learning methods, it is imperative to address the robustness of neural networks to noise and outliers. We propose the use of Winsorization to recover model performances when the data may have outliers and other aberrant observations.
Somya Sharma, Snigdhansu Chatterjee
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