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西安交通大学 [61]

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限定条件	专题：西安交通大学第一署名单位第一作者单位通讯作者单位

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	Learning Through Deterministic Assignment of Hidden Parameters 期刊论文 IEEE Transactions on Cybernetics, 2018 作者: Fang, Jian; Lin, Shaobo; Xu, Zongben 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/11/19 Application examples Bright parameters Generalization performance hidden parameters Learning rates Nonlinear mechanisms Traditional learning Uncertainty
	Dissolved gas analysis of transformer oil based on Deep Belief Networks 会议论文作者: Liang, Yu; Xu, Yao-Yu; Wan, Xin-Shu; Li, Yuan; Liu, Ning 收藏 \| 浏览/下载：17/0 \| 提交时间：2019/11/19 Back-propagation neural networks Deep belief network (DBN) Deep belief networks Dissolved gas analyses (DGA) Dissolved gas analysis Generalization ability Restricted boltzmann machine Transformer fault diagnosis
	An Adaptive BP Neural Network Algorithm for 2-Joint Rigid Robots 期刊论文 Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2018, 卷号: 52, 页码: 129-135 and 164 作者: Yang, Hang; Liu, Ling; Ni, Junkang; Zhang, Cheng 收藏 \| 浏览/下载：13/0 \| 提交时间：2019/11/19 Activation functions Adaptability Adjustable parameters Back propagation neural networks Generalization ability Position controller Rigid robots Sigmoid activation function
	Greedy Criterion in Orthogonal Greedy Learning 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 页码: 955-966 作者: Xu, Lin; Lin, Shaobo; Zeng, Jinshan; Liu, Xia; Fang, Yi 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/11/19 Generalization performance orthogonal greedy learning (OGL) supervised learning greedy criterion greedy algorithms
	Opportunities and Challenges of Machinery Intelligent Fault Diagnosis in Big Data Era 期刊论文 Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2018, 卷号: 54, 页码: 94-104 作者: Lei, Yaguo; Jia, Feng; Kong, Detong; Lin, Jing; Xing, Saibo 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/11/26 Comprehensive analysis Fault feature extractions Generalization ability High sampling frequencies Intelligent fault diagnosis Long-time operation Mechanical equipment Shallow diagnosis
	Improvement of the regression model for spindle thermal elongation by a Boosting-based outliers detection approach 期刊论文 International Journal of Advanced Manufacturing Technology, 2018, 卷号: 99, 页码: 1389-1403 作者: Lei, Mohan; Jiang, Gedong; Yang, Jun; Mei, Xuesong; Xia, Ping 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/11/26 Boosting Environmental disturbances Generalization ability Optimal parameter settings Outlier Detection Regression algorithms Spindle Thermal elongation
	Vision-based Robotic Grasp Success Determination with Convolutional Neural Network 会议论文作者: Zhang, Hanbo; Lan, Xuguang; Zhou, Xinwen; Wang, Jianji; Zheng, Nanning 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/11/26 Convolutional neural network Convolutional Neural Networks (CNN) Deep convolutional neural networks Generalization ability Potential ability RGB images Robotic grasp Spatial relationships
	Shrinkage Degree in L-2-Rescale Boosting for Regression 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 页码: 1851-1864 作者: Xu, Lin; Lin, Shaobo; Wang, Yao; Xu, Zongben 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/11/26 shrinkage degree generalization capability L-2-rescale boosting (L-2-RBoosting) regression Boosting
	An improved fusion prognostics method for remaining useful life prediction of bearings 会议论文作者: Wang, Biao; Lei, Yaguo; Li, Naipeng; Lin, Jing 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/11/26 Critical technique Failure thresholds Generalization performance Prediction accuracy Prediction performance Relevance Vector Machine Remaining useful life predictions Unscheduled maintenance
	Prediction of air pollutant concentration based on sparse response back-propagation training feedforward neural networks 期刊论文 ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2016, 卷号: 23, 期号: [db:dc_citation_issue], 页码: 19481-19494 作者: Ding, Weifu; Zhang, Jiangshe; Leung, Yee 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/02 Back-propagation Sparse response Generalization Multiple linear regression Air pollution prediction Artificial neural network

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