中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [4]
金属研究所 [3]
上海神经科学研究所 [3]
心理研究所 [3]
地理科学与资源研究所 [2]
重庆绿色智能技术研究... [2]
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OAI收割 [23]
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期刊论文 [23]
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2025 [1]
2024 [2]
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2021 [2]
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ACWCD: Utilizing Inherent Transformers Information and Prior Knowledge for Weakly Supervised Change Detection
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 4402614
作者:
Liu, Wenhao
;
Yu, Zhuoyuan
;
Luo, Bin
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2025/03/18
Cams
Transformers
Feature extraction
Neural networks
Training
Data mining
Remote sensing
Refining
Deep learning
Decoding
Change detection (CD)
class activation maps (CAMs)
deep learning
high-resolution images
multihead self-attention (MHSA)
prior knowledge
transformers
weakly supervised learning
Evolution of 3-D chlorophyll in the northwestern Pacific Ocean using a Gaussian-activation deep neural network model
期刊论文
OAI收割
FRONTIERS IN MARINE SCIENCE, 2024, 卷号: 11, 页码: 17
作者:
Zhao, Xianzhi
;
Gong, Xiang
;
Gong, Xun
;
Liu, Jiyao
;
Wang, Guoju
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/08/29
deep neural network
Gaussian activation
3-D chlorophyll structure
subsurface chlorophyll maximum
long-term trend
All-optical neural network nonlinear activation function based on the optical bistability within a micro-ring resonator
期刊论文
OAI收割
Optics Communications, 2024, 卷号: 558
作者:
Zhang, Hui
;
Wen, Jin
;
Wu, Zhengwei
;
Wang, Qian
;
Yu, Huimin
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2024/04/08
Micro-ring resonator
All-optical neural network
Bistability
Nonlinear activation function
Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation
期刊论文
OAI收割
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 12, 页码: 3253-3265
作者:
Fan, Zhihua
;
Li, Wenming
;
Wang, Zhen
;
Liu, Tianyu
;
Wu, Haibin
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2024/05/20
Accelerator
output activation
prediction
sparse convolutional neural network
Data-driven soliton mappings for integrable fractional nonlinear wave equations via deep learning with Fourier neural operator
期刊论文
OAI收割
CHAOS SOLITONS & FRACTALS, 2022, 卷号: 165, 页码: 14
作者:
Zhong, Ming
;
Yan, Zhenya
  |  
收藏
  |  
浏览/下载:23/0
  |  
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
Investigating the geometric structure of neural activation spaces with convex hull approximations
期刊论文
OAI收割
NEUROCOMPUTING, 2022, 卷号: 499, 页码: 93-105
作者:
Jia, Yuting
;
Zhang, Shao
;
Wang, Haiwen
;
Wen, Ying
;
Fu, Luoyi
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2022/09/21
Neural networks
Activation space understanding
Convex hull
Reinvestigating the Neural Bases Involved in Speech Production of Stutterers: An ALE Meta-Analysis
期刊论文
OAI收割
BRAIN SCIENCES, 2022, 卷号: 12, 期号: 8, 页码: 16
作者:
Zhang, Ning
;
Yin, Yulong
;
Jiang, Yuchen
;
Huang, Chenxu
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2022/09/26
stuttering
neural bases
meta-analysis
activation likelihood estimation
Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations
期刊论文
OAI收割
INFORMATION SCIENCES, 2022, 卷号: 588, 页码: 106-123
作者:
Wang, Guancheng
;
Hao, Zhihao
;
Zhang, Bob
;
Jin, Long
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2022/08/22
Recurrent neural network
dynamic Lyapunov equations
Bounded activation functions
Finite-time convergence
Robustness
Complex-Valued Neural Networks: A Comprehensive Survey
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1406-1426
作者:
ChiYan Lee
;
Hideyuki Hasegawa
;
Shangce Gao
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/08/01
Complex activation function
complex backpropagation algorithm
complex-valued learning algorithm
complex-valued neural network
deep learning
Activated Gradients for Deep Neural Networks
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Liu, Mei
;
Chen, Liangming
;
Du, Xiaohao
;
Jin, Long
;
Shang, Mingsheng
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2022/08/22
Training
Deep learning
Neural networks
Optimization
Visualization
Newton method
Eigenvalues and eigenfunctions
Exploding gradient problems
gradient activation function (GAF)
ill-conditioned problems
saddle point problems
vanishing gradient problems