中国科学院机构知识库网格系统: 检索

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	Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1530-1543 作者: Guijun Ma; Zidong Wang; Weibo Liu; Jingzhong Fang; Yong Zhang \| 收藏 \| 浏览/下载：10/0 \| 提交时间：2023/06/14 Deep transfer learning domain adaptation hyperparameter selection lithium-ion batteries (LIBs) particle swarm optimization state of health estimation (SOH)
	A computational method for the load spectra of large-scale structures with a data-driven learning algorithm 期刊论文 OAI收割 SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2022, 页码: 14 作者: Chen, XianJia; Yuan, Zheng; Li, Qiang; Sun, ShouGuang; Wei, YuJie \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2023/02/09 load spectrum computational mechanics deep learning data-driven modeling gated recurrent unit neural network
	Adversarial Information Bottleneck 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 10 作者: Zhai, Penglong; Zhang, Shihua \| 收藏 \| 浏览/下载：9/0 \| 提交时间：2023/02/07 Robustness Optimization Mutual information Deep learning Perturbation methods Training Task analysis Adversarial robustness deep learning hyperparameter selection information bottleneck (IB)
	CF-DAML: Distributed automated machine learning based on collaborative filtering 期刊论文 OAI收割 APPLIED INTELLIGENCE, 2022, 页码: 1-25 作者: Liu PJ(刘朋杰); Pan FC(潘福成); Zhou XF(周晓锋); Li S(李帅); Jin L(金樑) \| 收藏 \| 浏览/下载：59/0 \| 提交时间：2022/04/14 Automated machine learning Collaborative filtering Weighted l(1)-norm Distributed automated system Multilayer selective stacked ensemble
	Selection of regularization parameter based on generalized cross-validation in total variation remote sensing image restoration 会议论文 OAI收割 Image and Signal Processing for Remote Sensing Xvi, Bellingham Liu, Peng; Liu, Dingsheng 收藏 \| 浏览/下载：15/0 \| 提交时间：2014/12/07 total variation image restoration regularization parameter EDGE-PRESERVING REGULARIZATION HYPERPARAMETER ESTIMATION POSED PROBLEMS L-CURVE ALGORITHMS NOISY