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浏览/检索结果: 共10条，第1-10条 帮助 限定条件 专题：北京航空航天大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A Novel Method of Hyperspectral Data Classification Based on Transfer Learning and Deep Belief Network 期刊论文 APPLIED SCIENCES-BASEL, 2019, 卷号: 9 作者:  Li, Ke;  Wang, Mingju;  Liu, Yixin;  Yu, Nan;  Lan, Wei 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30 hyperspectral data  deep learning  transfer learning  DBN   The Multiple Classification Method of Signal Recognition for Spacecraft Based on SAE Network 期刊论文 Lecture Notes in Electrical Engineering, 2019, 卷号: 527, 页码: 679-689 作者:  Lan, W.;  Liu, Y.;  Qi, Z.;  Song, S.;  He, C. 收藏  |  浏览/下载：120/0  |  提交时间：2019/12/30 Data compression  Digital storage  Learning algorithms  Man machine systems  Network layers  Pattern recognition  Signal encoding  Spacecraft  Systems engineering  Auto encoders  Calculation time  Deep belief networks  Gradient Descent method  Health management  Multi-classification algorithms  Multiple Classification  Signal recognition  Deep learning   The Semaphore Identification and Fault Troubleshooting Modus for Spacecraft Originating from Deep Learning and RF Method 会议论文 COGNITIVE SYSTEMS AND SIGNAL PROCESSING, PT II, 2019-01-01 作者:  Lan, Wei;  He, Chun;  Wang, Mingju;  Li, Ke;  Zhao, Zhijian 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/30 Prognostic and health management  Deep learning  Data compression  Signal identification  Random-forest  Deep belief network   The Multiple Classification Method of Signal Recognition for Spacecraft Based on SAE Network 会议论文 MAN-MACHINE-ENVIRONMENT SYSTEM ENGINEERING, MMESE 2018, 2019-01-01 作者:  Lan, Wei;  Liu, Yixin;  Qi, Zhang;  Song, Shimin;  He, Chun 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/30 PHM  Deep learning  Auto-encoder  Pattern recognition  Data compression  Deep belief network   A DBN-based resampling SVM ensemble learning paradigm for credit classification with imbalanced data 期刊论文 APPLIED SOFT COMPUTING, 2018, 卷号: 69, 页码: 192-202 作者:  Yu, Lean;  Zhou, Rongtian;  Tang, Ling;  Chen, Rongda 收藏  |  浏览/下载：13/0  |  提交时间：2019/12/30 Credit classification  Imbalanced data  Deep belief network  Re-sampling  Revenue-sensitive ensemble learning  Support vector machine   Hierarchical multi-class classification in multimodal spacecraft data using DNN and weighted support vector machine 期刊论文 NEUROCOMPUTING, 2017, 卷号: 259, 页码: 55-65 作者:  Li, Ke;  Wu, Yalei;  Nan, Yu;  Li, Pengfei;  Li, Yang 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 Prognostics and health management (PHM)  Deep neural network (DNN)  Multi-modal spacecraft data  Weighted support vector machine (WSVM)  Deep belief network   The Deep Belief and Self-Organizing Neural Network as a Semi-Supervised Classification Method for Hyperspectral Data 期刊论文 APPLIED SCIENCES-BASEL, 2017, 卷号: 7 作者:  Lan, Wei;  Li, Qingjian;  Yu, Nan;  Wang, Quanxin;  Jia, Suling 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/30 DBN  data compression  hyperspectral  SOM  pattern classification   Being a Supercook: Joint Food Attributes and Multimodal Content Modeling for Recipe Retrieval and Exploration 期刊论文 IEEE TRANSACTIONS ON MULTIMEDIA, 2017, 卷号: 19, 页码: 1100-1113 作者:  Min, Weiqing;  Jiang, Shuqiang;  Sang, Jitao;  Wang, Huayang;  Liu, Xinda 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30 Cuisine classification  recipe image retrieval  ingredient inference  multitask deep belief network   Modeling Joint Representation with Tri-Modal Deep Belief Networks for Query and Question Matching 会议论文 7th Forum on Data Engineering and Information Management (DEIM Forum), Fukushima, JAPAN, 2016-04-01 作者:  Jiang, Nan;  Rong, Wenge;  Peng, Baolin;  Nie, Yifan;  Xiong, Zhang 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 cQA  deep belief networks  joint representation  tri-modal deep belief network   Modeling Joint Representation with Tri-Modal Deep Belief Networks for Query and Question Matching 期刊论文 IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2016, 卷号: E99D, 页码: 927-935 作者:  Jiang, Nan;  Rong, Wenge;  Peng, Baolin;  Nie, Yifan;  Xiong, Zhang 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/30 cQA  deep belief networks  joint representation  tri-modal deep belief network