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浏览/检索结果: 共26条，第1-10条 帮助 限定条件 发表日期：2021    专题：数学与系统科学研究院    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 Parallel exponential time differencing methods for geophysical flow simulations 期刊论文 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 卷号: 387, 页码: 24 作者:  Lan, Rihui;  Leng, Wei;  Wang, Zhu;  Ju, Lili;  Gunzburger, Max 收藏  |  浏览/下载：12/0  |  提交时间：2022/04/02 Shallow water equations  Primitive equations  Exponential time differencing  Parallel computing  Barotropic/baroclinic splitting   Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method 期刊论文 APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15 作者:  Jiang, Fuxin;  Zhang, Chengyuan;  Sun, Shaolong;  Sun, Jingyun 收藏  |  浏览/下载：18/0  |  提交时间：2022/04/29 PM2.5 concentration forecasting  Complete ensemble empirical mode  decomposition with adaptive noise  Temporal convolutional  Data patterns  Deep learning   Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization 期刊论文 APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15 作者:  Wang, Jianzhou;  Cheng, Zishu 收藏  |  浏览/下载：13/0  |  提交时间：2022/04/29 Interval prediction  Multi-objective optimization algorithm  Wind speed  Combined models   Linear screening for high-dimensional computer experiments 期刊论文 STAT, 2021, 卷号: 10, 期号: 1, 页码: 9 作者:  Li, Chunya;  Chen, Daijun;  Xiong, Shifeng 收藏  |  浏览/下载：14/0  |  提交时间：2022/04/02 best linear approximation  best subset regression  nonlinear model  sure independence screening   An Implicit Function-Based Adaptive Control Scheme for Noncanonical-Form Discrete-Time Neural-Network Systems 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 12, 页码: 5728-5739 作者:  Zhang, Yanjun;  Tao, Gang;  Chen, Mou;  Chen, Wen;  Zhang, Zhengqiang 收藏  |  浏览/下载：11/0  |  提交时间：2022/04/02 Adaptive control  Uncertainty  Nonlinear systems  Adaptation models  Asymptotic stability  Stability analysis  Adaptive control  asymptotic output tracking  discrete time (DT)  implicit function  noncanonical form   A New Hybrid VMD-ICSS-BiGRU Approach for Gold Futures Price Forecasting and Algorithmic Trading 期刊论文 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 6, 页码: 1357-1368 作者:  Li, Yuze;  Wang, Shouyang;  Wei, Yunjie;  Zhu, Qing 收藏  |  浏览/下载：14/0  |  提交时间：2022/04/02 Gold  Forecasting  Autoregressive processes  Predictive models  Signal resolution  Deep learning  Mathematical model  Algorithmic trading  bidirectional gated recurrent unit (BiGRU)  gold futures price forecasting  variational mode decomposition (VMD)   Learning with smooth Hinge losses 期刊论文 NEUROCOMPUTING, 2021, 卷号: 463, 页码: 379-387 作者:  Luo, JunRu;  Qiao, Hong;  Zhang, Bo 收藏  |  浏览/下载：13/0  |  提交时间：2022/04/02 Smooth Hinge loss  Convex surrogate loss  Support vector machine  Trust region Newton method   Learning graph attention-aware knowledge graph embedding 期刊论文 NEUROCOMPUTING, 2021, 卷号: 461, 页码: 516-529 作者:  Li, Chen;  Peng, Xutan;  Niu, Yuhang;  Zhang, Shanghang;  Peng, Hao 收藏  |  浏览/下载：14/0  |  提交时间：2022/04/02 Knowledge graph embedding  Graph attention mechanism  Entity typing  Link prediction   Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者:  Lan, Hui;  Liu, Ziquan;  Hsiao, Janet H.;  Yu, Dan;  Chan, Antoni B. 收藏  |  浏览/下载：11/0  |  提交时间：2022/04/02 Hidden Markov models  Bayes methods  Data models  Computational modeling  Mixture models  Clustering algorithms  Analytical models  Clustering  hidden Markov mixture model (H3M)  hierarchical EM  variational Bayesian (VB)   Online Active Learning for Drifting Data Streams 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者:  Liu, Sanmin;  Xue, Shan;  Wu, Jia;  Zhou, Chuan;  Yang, Jian 收藏  |  浏览/下载：13/0  |  提交时间：2022/04/02 Labeling  Data models  Uncertainty  Biological system modeling  Computational modeling  Cognition  Adaptation models  Active learning  concept drift  data stream classification  online incremental learning