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作品数：24被引量：37H指数：3
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相关领域：电子电信自动化与计算机技术更多>>
相关作者：张功更多>>
相关机构：华中师范大学南京邮电大学更多>>
相关期刊：《Journal of Automation and Intelligence》《Chinese Journal of Mechanical Engineering》《Language and Semiotic Studies》《Computers, Materials & Continua》更多>>
相关基金：国家自然科学基金中国博士后科学基金湖北省自然科学基金更多>>
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A VAE-Bayesian deep learning scheme for solar power generation forecasting based on dimensionality reduction被引量：1
《Energy and AI》2023年第4期319-328,共10页Devinder Kaur Shama Naz Islam MdApel Mahmud Md.Enamul Haque Adnan Anwar 
The advancements in distributed generation(DG)technologies such as solar panels have led to a widespread integration of renewable power generation in modern power systems.However,the intermittent nature of renewable e...
关键词：Bayesian deep learning Bidirectional long-short term memory Dimensionality reduction Generation forecasting Renewable power generation Variational auto-encoders 
Microstructure segmentation with deep learning encoders pre-trained on a large microscopy dataset被引量：3
《npj Computational Materials》2022年第1期1905-1916,共12页Joshua Stuckner Bryan Harder Timothy M.Smith 
This work was supported by the NASA Transformational Tools and Technologies(TTT)project under the Transformative Aeronautics Concept Program within the Aeronautics Research Mission Directorate.
This study examined the improvement of microscopy segmentation intersection over union accuracy by transfer learning from a large dataset of microscopy images called MicroNet.Many neural network encoder architectures ...
关键词：UNION INTERSECTION image 
Small sample learning with high order contractive auto-encoders and application in SAR images被引量：3
《Science China(Information Sciences)》2018年第9期271-273,共3页Qianwen YANG Fuchun SUN 
Dear editor,Recently auto-encoders（AEs）are used as intermediate layers or unsupervised learning stages in deep learning networks[1].However,unlike other deep learning algorithms,which can extract higher-order abstra...
关键词：SAR Small sample learning with high order contractive auto-encoders and application in SAR images MSTAR RBM 
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