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西安交通大学 [6]

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	Remaining Useful Life prediction of rolling bearings based on risk assessment and degradation state coefficient 期刊论文 ISA Transactions, 2022 作者: Li, Qiang; Yan, Changfeng; Chen, Guangyi; Wang, Huibin; Li, Hongkun 收藏 \| 浏览/下载：20/0 \| 提交时间：2022/07/20 Condition based maintenance Economic and social effects Forecasting Frequency domain analysis Genetic algorithms Health Health risks Roller bearings Singular value decomposition Degradation state Degradation state coefficient Genetic algorithm-support vector regression Health indicators Mode decomposition Modified health indicator Remaining useful lives Risks assessments Support vector regressions Variational mode decomposition-singular value decomposition
	Fault Monitoring Method of Wind Turbine Main Bearing 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 2, 页码: 341-347 and 415 作者: Zheng, Yuqiao; Wei, Jianfeng; Zhu, Kai; Dong, Bo 收藏 \| 浏览/下载：6/0 \| 提交时间：2022/02/17 Bearings (machine parts) Forecasting Linear regression Monitoring Sliding mode control Statistics Support vector machines Support vector regression Wind turbines Change of temperatures Combination forecasting models Determination coefficients Mean and standard deviations Multiple linear regression models Multivariate linear regression model Sliding window methods Support vector machine regressions
	PEMFC power prediction based on deep auto-encoder and LS-SVMR 会议论文 2018 IEEE 3rd International Conference on Big Data Analysis, ICBDA 2018 作者: Hong, S.; Sun, L.; Yin, J.; Yu, T.; Wang, Y. 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 Clustering algorithms Data handling Deep learning Deep neural networks Forecasting Information analysis Least squares approximations Proton exchange membrane fuel cells (PEMFC) Signal encoding Support vector machines Auto encoders Classification accuracy Forecasting accuracy Health management High dimensional data Least squares support vector machines regressions LS-SVMR Power predictions Big data
	Estimation of elimination half-lives of organic chemicals in humans using gradient boosting machine 期刊论文 Biochimica et biophysica acta-general subjects, 2016, 卷号: 1860, 期号: 11, 页码: 2664-2671 作者: Lu, Jing; Lu, Dong; Zhang, Xiaochen; Bi, Yi; Cheng, Keguang 收藏 \| 浏览/下载：48/0 \| 提交时间：2019/05/09 Elimination half-life Gradient boosting machine Applicability domain Consensus model
	Estimation of elimination half-lives of organic chemicals in humans using gradient boosting machine 期刊论文 BIOCHIMICA ET BIOPHYSICA ACTA-GENERAL SUBJECTS, 2016, 卷号: 1860, 期号: 11, 页码: 2664-2671 作者: Lu, Jing; Lu, Dong; Zhang, Xiaochen; Bi, Yi; Cheng, Keguang 收藏 \| 浏览/下载：16/0 \| 提交时间：2019/01/08 Elimination half-life Gradient boosting machine Applicability domain Consensus model
	Computationally evaluating and synthesizing Chinese calligraphy 期刊论文 http://dx.doi.org/10.1016/j.neucom.2013.12.013, 2014 Li, Wei; Song, Yuping; Zhou, Changle; 李伟; 宋宇萍; 周昌乐收藏 \| 浏览/下载：4/0 \| 提交时间：2015/07/22 AUTOMATIC-GENERATION
	Optimization of fixture layouts of glass laser optics using multiple kernel regression 期刊论文 APPLIED OPTICS, 2014, 卷号: 53, 期号: 14, 页码: 2988-2997 作者: Su, Jianhua; Cao, Enhua; Qiao, Hong 收藏 \| 浏览/下载：14/0 \| 提交时间：2015/08/12
	Auto Parts Demand Forecasting Based on Nonnegative Variable Weight Combination Model in Auto Aftermarket 会议论文作者: Yang Qin; Chen Yun 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/08/22 auto aftermarket auto parts variable weight combination SVR ARIMA multiple regressions
	QSAR Study On 5-Lipoxygenase Inhibitors Based on Support Vector Machine 期刊论文 MEDICINAL CHEMISTRY, 2012, 卷号: 8, 页码: 1108-1116 作者: Niu, Bing[1]; Su, Qiang[2]; Yuan, Xiaochen[3]; Lu, Wencong[4]; Ding, Juan[5] 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/04/30 Support vector regressions 1-phenyl [2H]-tetrahydro-triazine-3-one analogues Leave-one-out cross-validation Feature selection Wrapper Multiple linear regression (MLR) Partial least squares (PLS) analysis
	Study on v-support vector regression optimization problem without bias 期刊论文 Kongzhi yu Juece/Control and Decision, 2012, 卷号: 27, 期号: [db:dc_citation_issue], 页码: 866-870 作者: Ding, Xiao-Jian; Zhao, Yin-Liang 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/10 Bias Decision hyperplanes Dual optimizations Generalization ability High-dimensional feature space Optimization formulations Optimization problems V-support vector regressions

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