数据挖掘
Hans Journal of Data Mining

《数据挖掘》系“RCCSE中文OA核心学术期刊”，是开放获取期刊，主要刊登数据结构、数据安全、知识工程等计算机信息系统建设相关内容的学术论文和成果评述。本刊支持思想创新、学术创新，倡导科学，繁荣学术，集学术性、思想性为一体，旨在给世界范围内的科学家、学者、科研人员提供一个传播、分享和讨论数据挖掘领域内不同方向问题与发展的交流平台。

ISSN Print: 2163-145X
ISSN Online: 2163-1468
中国教图刊号：932B0130
编辑邮箱: hjdm@hanspub.org 微信号：hansp-Y
Website: https://www.hanspub.org/journal/HJDM.html

期刊菜单

深度学习优化器方法及学习率衰减方式综述
An Overview of Deep Learning Optimization Methods and Learning Rate Attenuation Methods
冯宇旭, 李裕梅
数据挖掘 Vol. 8 No. 4 (October 2018)
被下列文章引用：

Google Scholar
CrossRef

[1]	Development of residual learning in deep neural networks for computer vision: A survey
	2025

[2]	Lightweight Object Detector Based on Images Captured Using Unmanned Aerial Vehicle
	2025

[3]	FEMSFNet: Feature Enhancement and Multi-Scales Fusion Network for SAR Aircraft Detection
	2024

[4]	Research on a Fast Forecast Model of Ocean Wave Heights Based on Deep Learning Algorithms
	2024

[5]	Development of skip connection in deep neural networks for computer vision and medical image analysis: A survey
	2024

[6]	Deep Learning-Based Digital Surface Model Reconstruction of ZY-3 Satellite Imagery
	2024

[7]	Identifying unsafe behavior of construction workers: A dynamic approach combining skeleton information and spatiotemporal features
	2023

[8]	基于深度学习和 ArcMap 的路面病害智能综合检测方法.
	2023

[9]	基于深度学习的高光谱腊肉营养安全分级.
	2022

[10]	DeepSSR: a deep learning system for structured recognition of text images from unstructured paper-based medical reports
	2022

[11]	Hyperbolic Tangent Polynomial Parity Cyclic Learning Rate for Deep Neural Network
	2021

[12]	Bearing Fault Diagnosis Based on Natural Adaptive Moment Estimation Algorithm and Improved Octave Convolution
	2020

[13]	医学影像疾病诊断的残差神经网络优化算法研究进展
	2020

[14]	PACL: Piecewise Arc Cotangent Decay Learning Rate for Deep Neural Network Training
	2020

[15]	Delay-tolerant predictive power compensation control for photovoltaic voltage regulation
	2020

[16]	Fire segmentation using a DeepLabv3+ architecture
	2020

[17]	基于卷积神经网络与高光谱的鸡肉品质分类检测
	2018

[1]	PACL: Piecewise Arc Cotangent Decay Learning Rate for Deep Neural Network Training IEEE Access, 2020 DOI:10.1109/ACCESS.2020.3002884

[2]	Fire segmentation using a DeepLabv3+ architecture Image and Signal Processing for Remote Sensing XXVI, 2020 DOI:10.1117/12.2573902

[3]	Bearing Fault Diagnosis Based on Natural Adaptive Moment Estimation Algorithm and Improved Octave Convolution IEEE Access, 2020 DOI:10.1109/ACCESS.2020.3034281

[4]	PRICAI 2021: Trends in Artificial Intelligence Lecture Notes in Computer Science, 2021 DOI:10.1007/978-3-030-89363-7_34

[5]	Delay-Tolerant Predictive Power Compensation Control for Photovoltaic Voltage Regulation IEEE Transactions on Industrial Informatics, 2021 DOI:10.1109/TII.2020.3024069

[6]	YOLOv3-Darknet with Adaptive Clustering Anchor Box for Intelligent Dry and Wet Garbage Identification and Classification 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2019 DOI:10.1109/IHMSC.2019.10114

[7]	Pattern Recognition and Computer Vision Lecture Notes in Computer Science, 2022 DOI:10.1007/978-3-031-18913-5_57

[8]	Improved Angle Steel Character Detection Algorithm Based on DBNet Academic Journal of Science and Technology, 2022 DOI:10.54097/ajst.v3i3.2549

[9]	Identifying Unsafe Behavior of Construction Workers: A Dynamic Approach Combining Skeleton Information and Spatiotemporal Features Journal of Construction Engineering and Management, 2023 DOI:10.1061/JCEMD4.COENG-13616

[10]	FEMSFNet: Feature Enhancement and Multi-Scales Fusion Network for SAR Aircraft Detection Remote Sensing, 2024 DOI:10.3390/rs16091589

[11]	Development of residual learning in deep neural networks for computer vision: A survey Engineering Applications of Artificial Intelligence, 2025 DOI:10.1016/j.engappai.2024.109890

[12]	Deep Learning-Based Digital Surface Model Reconstruction of ZY-3 Satellite Imagery Remote Sensing, 2024 DOI:10.3390/rs16142567

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