×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
自动化研究所 [43]
兰州理工大学 [10]
计算技术研究所 [8]
西安光学精密机械研究... [7]
力学研究所 [4]
北京航空航天大学 [4]
更多...
内容类型
期刊论文 [90]
会议论文 [19]
其他 [2]
学位论文 [2]
发表日期
2023 [2]
2022 [13]
2021 [14]
2020 [20]
2019 [23]
2018 [18]
更多...
学科主题
Physics [3]
Automation... [1]
Computer S... [1]
computer s... [1]
engineerin... [1]
人工智能 [1]
更多...
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共113条,第1-10条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China
期刊论文
ORE GEOLOGY REVIEWS, 2023, 卷号: 163, 页码: 20
作者:
Zhang, Baoyi
;
Xu, Kun
;
Khan, Umair
;
Li, Xuefeng
;
Du, Linze
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/01/22
3D geological models
Convolutional neural networks
Deconvolution
Weight of evidence
3D mineral prospectivity modeling
Recovering Bathymetry From Satellite Altimetry-Derived Gravity by Fully Connected Deep Neural Network
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 卷号: 20, 页码: 5
作者:
Yang, Lei
;
Liu, Min
;
Liu, Na
;
Guo, Jinyun
;
Lin, Lina
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/12/07
Gravity
Bathymetry
Satellites
Geology
Altimetry
Geologic measurements
Sea measurements
convolutional neural network (CNN)
fully connected deep neural network (FC-DNN)
gravity
gravity-geological method
satellite altimetry
Data-driven soliton mappings for integrable fractional nonlinear wave equations via deep learning with Fourier neural operator
期刊论文
CHAOS SOLITONS & FRACTALS, 2022, 卷号: 165, 页码: 14
作者:
Zhong, Ming
;
Yan, Zhenya
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/02/07
Integrable fractional nonlinear wave equations
Fourier neural operator
Deep learning
Data-driven soliton mapping
Activation function
Channel of fully-connected layer
Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules
期刊论文
INFORMATION SCIENCES, 2022, 卷号: 610, 页码: 1-13
作者:
Zhao, Dongcheng
;
Li, Yang
;
Zeng, Yi
;
Wang, Jihang
;
Zhang, Qian
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/11/14
Spiking Neural Network
Capsual Neural Netowrk
Biologically Plausible Routing
Noise Robustness
Affine Transformation Robustness
Estimation of the convolutional neural network with attention mechanism and transfer learning on wood knot defect classification
期刊论文
JOURNAL OF APPLIED PHYSICS, 2022, 卷号: 131
作者:
Gao, Mingyu
;
Wang, Fei
;
Liu, Junyan
;
Song, Peng
;
Chen, Jianfeng
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/12/23
Constructing the Basis Path Set by Eliminating the Path Dependency
期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2022, 页码: 19
作者:
Zhu Juanping
;
Meng Qi
;
Chen Wei
;
Wang Yue
;
Ma Zhiming
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/02/07
Basis path
neural network
path dependency
path subdivision chain
substructure path
Artificial neural network based response surface for data-driven dimensional analysis
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 459, 页码: 19
作者:
Xu, Zhaoyue
;
Zhang, Xinlei
;
Wang, Shizhao
;
He, Guowei
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/07/18
Artificial neural network
Response surface
Data-driven dimensional analysis
Machine learning
Fluid-structure interaction
Physics-informed neural networks for phase-field method in two-phase flow
期刊论文
PHYSICS OF FLUIDS, 2022, 卷号: 34, 期号: 5, 页码: 15
作者:
Qiu, Rundi
;
Huang, Renfang
;
Xiao, Yao
;
Wang, Jingzhu
;
Zhang, Zhen
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2022/07/18
面向数据不平衡的卷积神经网络故障辨识方法
期刊论文
振动.测试与诊断, 2022, 卷号: 42, 期号: 02, 页码: 299-307+408
作者:
吴耀春
;
赵荣珍
;
靳伍银
;
邢自扬
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2022/06/21
智能故障辨识
数据不平衡
卷积神经网络
最小最大化目标函数
旋转机械
Intelligent Fault Identification Method Based on Convolutional Neural Network for Imbalanced Data
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2022, 卷号: 42, 期号: 2, 页码: 299-307
作者:
Wu, Yaochun
;
Zhao, Rongzhen
;
Jin, Wuyin
;
Xing, Ziyang
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/06/20
Convolutional neural networks
Machinery
Class spaces
Convolutional neural network
Fault identifications
Identification method
Imbalanced data
Intelligent fault diagnosis
Min-max
Min-max objective func-tion
Net work
Objective functions
©版权所有 ©2017 CSpace - Powered by
CSpace