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浏览/检索结果: 共4条，第1-4条 帮助 限定条件 专题：中南林业科技大学    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 GPR-PSO incremental regression framework on GPS/INS integration for vehicle localization under urban environment 期刊论文 2016 IEEE 27TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2016, 页码: 1119-1124 作者:  Xiao, Zhu*;  Zhan, Sui;  Xiang, Zhiyang;  Wang, Dong;  Chen, Wenjie 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/28 Global Positioning System  Inertial Navigation System  Gauss Process Regression  Particle Swarm Optimization  GPS Outage  Vehicle Localization   A temporal self-organizing neural network for adaptive sub-sequence clustering and case studies 期刊论文 2016 INTERNATIONAL CONFERENCE ON COMPUTER, INFORMATION AND TELECOMMUNICATION SYSTEMS (CITS), 2016, 页码: 170-174 作者:  Wang, Dong*;  Long, Yanfang;  Xiao, Zhu;  Xiang, Zhiyang;  Chen, Wenjie 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/28 Recurrent neural network  sub-sequence clustering  adaptive clustering  self-organizing incremental neural network   Resource Allocation via Hierarchical Clustering in Dense Small Cell Networks: A Correlated Equilibrium Approach 会议论文 27th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Valencia, SPAIN, SEP 04-08, 2016 作者:  Xiao, Zhu*;  Yu, Jianzhi;  Li, Tong;  Xiang, Zhiyang;  Wang, Dong 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/28 Small cells  hierarchical clustering  non-cooperative game  correlated equilibrium   Unsupervised and Semi-supervised Dimensionality Reduction with Self-Organizing Incremental Neural Network and Graph Similarity Constraints 期刊论文 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, 卷号: 9651, 页码: 191-202 作者:  Xiang, Zhiyang;  Xiao, Zhu;  Huang, Yourong;  Wang, Dong*;  Fu, Bin 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/28 Dimensionality reduction  Self-Organizing Incremental Neural Network  Graph cut  Semi-supervised learning