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	INN: Interfaced neural networks as an accessible meshless approach for solving interface PDE problems 期刊论文 JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 470, 页码: 18 作者: Wu, Sidi; Lu, Benzhuo 收藏 \| 浏览/下载：7/0 \| 提交时间：2023/02/07 Interface problems Multiple-gradient descent Neural network PDEs
	A novel short-term load forecasting method based on mini-batch stochastic gradient descent regression model 期刊论文 Electric Power Systems Research, 2022, 卷号: 211 作者: Lizhen, Wu; Yifan, Zhao; Gang, Wang; Xiaohong, Hao 收藏 \| 浏览/下载：25/0 \| 提交时间：2022/07/20 Batch data processing Big data Electric power plant loads Forecasting Gradient methods K-means clustering Regression analysis Stochastic models Big data analyze Distributed parallel computing Load forecasting Map-reduce Map-reduce framework Mini-batch stochastic gradient descent Regression modelling Short term load forecasting Stochastic gradient descent Stochastic gradient descent algorithm
	Towards Better Generalization of Deep Neural Networks via Non-Typicality Sampling Scheme 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 11 作者: Peng, Xinyu; Wang, Fei-Yue; Li, Li 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/06/06 Training Estimation Deep learning Standards Optimization Noise measurement Convergence Deep learning generalization performance nontypicality sampling scheme stochastic gradient descent (SGD)
	Covariance-Based Joint Device Activity and Delay Detection in Asynchronous mMTC 期刊论文 IEEE SIGNAL PROCESSING LETTERS, 2022, 卷号: 29, 页码: 538-542 作者: Wang, Zhaorui; Liu, Ya-Feng; Liu, Liang 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/04/02 Delays Channel estimation Signal processing algorithms Synchronization Protocols Performance evaluation Optimization Asynchronous mMTC coordinate descent joint activity and delay detection random access
	A Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 812-833 作者: Xinlei Yi; Shengjun Zhang; Tao Yang; Tianyou Chai; Karl Henrik Johansson 收藏 \| 浏览/下载：49/0 \| 提交时间：2022/04/24 Distributed nonconvex optimization linear speedup Polyak-Łojasiewicz (P-Ł) condition primal-dual algorithm stochastic gradient descent
	Average Descent Rate Singular Value Decomposition and Two-Dimensional Residual Neural Network for Fault Diagnosis of Rotating Machinery 期刊论文 IEEE Transactions on Instrumentation and Measurement, 2022, 卷号: 71 作者: Liang, Haopeng; Cao, Jie; Zhao, Xiaoqiang 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/06/20 Deep neural networks Failure analysis Fault detection Feature extraction Gears Rotating machinery Average descent rate singular value decomposition Convolutional neural network Deep learning Faults diagnosis Features extraction Gramian angular difference field Gramians Neural-networks Noise measurements Two-dimensional Two-dimensional residual neural network Vibration
	FCM-RDpA: TSK fuzzy regression model construction using fuzzy C-means clustering, regularization, Droprule, and Powerball Adabelief 期刊论文 INFORMATION SCIENCES, 2021, 卷号: 574, 页码: 490-504 作者: Shi, Zhenhua; Wu, Dongrui; Guo, Chenfeng; Zhao, Changming; Cui, Yuqi 收藏 \| 浏览/下载：40/0 \| 提交时间：2021/11/03 TSK fuzzy system Mini-batch gradient descent DropRule Powerball AdaBelief Fuzzy c-means clustering
	Long-time asymptotics of solutions for the coupled dispersive AB system with initial value problems 期刊论文 JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2021, 卷号: 498, 期号: 2, 页码: 31 作者: Chen, Shuyan; Yan, Zhenya 收藏 \| 浏览/下载：53/0 \| 提交时间：2021/04/26 Coupled dispersive AB system Initial-value condition Riemann-Hilbert problem Nonlinear steepest descent method Long-time asymptotics
	Long-Time Asymptotics for the Focusing Hirota Equation with Non-Zero Boundary Conditions at Infinity Via the Deift-Zhou Approach 期刊论文 MATHEMATICAL PHYSICS ANALYSIS AND GEOMETRY, 2021, 卷号: 24, 期号: 2, 页码: 37 作者: Chen, Shuyan; Yan, Zhenya; Guo, Boling 收藏 \| 浏览/下载：83/0 \| 提交时间：2021/06/01 Focusing Hirota equation Non-zero boundary conditions Inverse scattering Oscillatory Riemann-Hilbert problem Nonlinear steepest-descent method Long-time asymptotics
	Drill the Cork of Information Bottleneck by Inputting the Most Important Data 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者: Peng, Xinyu; Zhang, Jiawei; Wang, Fei-Yue; Li, Li 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/01/27 Training Signal to noise ratio Mutual information Optimization Convergence Deep learning Tools Information bottleneck (IB) theory machine learning minibatch stochastic gradient descent (SGD) typicality sampling

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