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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 
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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