[PDF][PDF] The latest progress of deep learning
YM Chen, X Gao - Computer Science and Applications, 2018 - pdf.hanspub.org
… With the advent of the big data era, deep learning has been … on deep learning. This paper
introduces the related concepts of deep learning, concise summary of the relevant work based …
introduces the related concepts of deep learning, concise summary of the relevant work based …
[PDF][PDF] Some developments of estimation procedures of mechanical model parameter based on deep learning neural network
SJ Li - Artificial Intelligence and Robotics Research, 2020 - pdf.hanspub.org
… model parameter procedure based on deep learning neural network is … deep learning neural
network is discussed. How to improve learning efficiency and generalization ability of deep …
network is discussed. How to improve learning efficiency and generalization ability of deep …
[HTML][HTML] Development history and future trends of numerical control machine tools
LIU Qiang - China mechanical engineering, 2021 - qikan.cmes.org
… In order to effectively realize the energy saving and … deep learning network could not extract
the hidden information of data comprehensively, an improved model was proposed based …
the hidden information of data comprehensively, an improved model was proposed based …
Research progress on single image super-resolution reconstruction technology
… characteristics of the interpolation-based method and learningbased method are sorted out.
… -resolution reconstruction method based on deep learning are analyzed and compared. …
… -resolution reconstruction method based on deep learning are analyzed and compared. …
[PDF][PDF] A Review of the Research on Recommendation Methods for Application Fields
S Ma, P He - Computer Science and Application, 2019 - pdf.hanspub.org
… Deep learning can be integrated into the recommendation method … based on deep learning,
and finally summarizes and prospects the recommendation methods based on deep learning…
and finally summarizes and prospects the recommendation methods based on deep learning…
带有隐私保护的无线传感网能量有效数据融合机制
黄颖, 费莉, 赖小龙 - 微电子学与计算机, 2019 - journalmc.com
… An energy-efficient wireless sensor network data fusion … mechanism is less efficient and lacks
privacy protection method. The … Based on the deep learning theory, an efficient data fusion …
privacy protection method. The … Based on the deep learning theory, an efficient data fusion …
[PDF][PDF] 一种传感器网络最大化生命周期数据收集算法
张卿, 谢志鹏, 凌波, 孙未未, 施伯乐 - 软件学报, 2005 - jos.org.cn
… His current research areas are machine learning, bio-… For this reason, energy conservation
should be the primary … a wireless sensor network consisting of a group of sensors and a base …
should be the primary … a wireless sensor network consisting of a group of sensors and a base …
基于深度强化学习的SWIPT 边缘网络联合优化方法
王哲, 王启名, 李陶深, 葛丽娜 - 计算机应用, 2023 - joca.cn
… Wireless Sensor Network (WSN) assisted by EC and SWIPT, a mathematical model of system
energy efficiency … , a joint optimization method based on deep reinforcement learning was …
energy efficiency … , a joint optimization method based on deep reinforcement learning was …