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《机械工程前沿(英文)》 2022年 第17卷 第2期 doi: 10.1007/s11465-022-0673-7
关键词: deep reinforcement learning hyper parameter optimization convolutional neural network fault diagnosis
Deep convolutional neural network for multi-level non-invasive tunnel lining assessment
《结构与土木工程前沿(英文)》 2022年 第16卷 第2期 页码 214-223 doi: 10.1007/s11709-021-0800-2
关键词: concrete structure GPR damage classification convolutional neural network transfer learning
Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical
《机械工程前沿(英文)》 2021年 第16卷 第4期 页码 814-828 doi: 10.1007/s11465-021-0650-6
关键词: bearing cross-severity fault diagnosis hierarchical fault diagnosis convolutional neural network decision tree
Multiclass classification based on a deep convolutional
Ying CAI,Meng-long YANG,Jun LI
《信息与电子工程前沿(英文)》 2015年 第16卷 第11期 页码 930-939 doi: 10.1631/FITEE.1500125
关键词: Head pose estimation Deep convolutional neural network Multiclass classification
Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network
《机械工程前沿(英文)》 2022年 第17卷 第3期 doi: 10.1007/s11465-022-0692-4
关键词: axial piston pump fault diagnosis convolutional neural network multi-sensor data fusion
Automated classification of civil structure defects based on convolutional neural network
Pierclaudio SAVINO, Francesco TONDOLO
《结构与土木工程前沿(英文)》 2021年 第15卷 第2期 页码 305-317 doi: 10.1007/s11709-021-0725-9
关键词: concrete structure infrastructures visual inspection convolutional neural network artificial intelligence
A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting
《环境科学与工程前沿(英文)》 2023年 第17卷 第2期 doi: 10.1007/s11783-023-1622-3
● A novel deep learning framework for short-term water demand forecasting.
关键词: Short-term water demand forecasting Long-short term memory neural network Convolutional Neural Network Wavelet multi-resolution analysis Data-driven models
Efficient, high-resolution topology optimization method based on convolutional neural networks
Liang XUE, Jie LIU, Guilin WEN, Hongxin WANG
《机械工程前沿(英文)》 2021年 第16卷 第1期 页码 80-96 doi: 10.1007/s11465-020-0614-2
关键词: topology optimization convolutional neural network high resolution density-based
Wenxuan CAO; Junjie LI
《结构与土木工程前沿(英文)》 2022年 第16卷 第11期 页码 1378-1396 doi: 10.1007/s11709-022-0855-8
关键词: underwater cracks remote operated vehicle image stitching image segmentation graph convolutional neural network
Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm
《环境科学与工程前沿(英文)》 2021年 第15卷 第6期 doi: 10.1007/s11783-021-1430-6
• UV-vis absorption analyzer was applied in drainage type online recognition.
关键词: Drainage online recognition UV-vis spectra Derivative spectrum Convolutional neural network
Amit SHIULY; Debabrata DUTTA; Achintya MONDAL
《结构与土木工程前沿(英文)》 2022年 第16卷 第3期 页码 347-358 doi: 10.1007/s11709-022-0819-z
关键词: support vector machine deep convolutional neural network microscope digital image curing period
Slope stability analysis based on big data and convolutional neural network
Yangpan FU; Mansheng LIN; You ZHANG; Gongfa CHEN; Yongjian LIU
《结构与土木工程前沿(英文)》 2022年 第16卷 第7期 页码 882-895 doi: 10.1007/s11709-022-0859-4
关键词: slope stability limit equilibrium method convolutional neural network database for slopes big data
Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG
《机械工程前沿(英文)》 2021年 第16卷 第2期 页码 340-352 doi: 10.1007/s11465-021-0629-3
关键词: fault intelligent diagnosis deep learning deep convolutional neural network high-dimensional samples
《机械工程前沿(英文)》 2022年 第17卷 第3期 doi: 10.1007/s11465-022-0688-0
关键词: precision milling dimensional accuracy cutting force convolutional neural networks coherent noise
Khuong LE-NGUYEN; Quyen Cao MINH; Afaq AHMAD; Lanh Si HO
《结构与土木工程前沿(英文)》 2022年 第16卷 第10期 页码 1213-1232 doi: 10.1007/s11709-022-0880-7
关键词: FRCM deep neural networks confinement effect strength model confined concrete
标题 作者 时间 类型 操作
A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis
期刊论文
Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical
期刊论文
Automated classification of civil structure defects based on convolutional neural network
Pierclaudio SAVINO, Francesco TONDOLO
期刊论文
Efficient, high-resolution topology optimization method based on convolutional neural networks
Liang XUE, Jie LIU, Guilin WEN, Hongxin WANG
期刊论文
Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neuralnetwork
Wenxuan CAO; Junjie LI
期刊论文
Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm
期刊论文
Assessing compressive strengths of mortar and concrete from digital images by machine learning techniques
Amit SHIULY; Debabrata DUTTA; Achintya MONDAL
期刊论文
Slope stability analysis based on big data and convolutional neural network
Yangpan FU; Mansheng LIN; You ZHANG; Gongfa CHEN; Yongjian LIU
期刊论文
Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples
Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG
期刊论文
A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of
期刊论文