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浏览/检索结果: 共12条，第1-10条 帮助 限定条件 发表日期：2021     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 Take Bitcoin into your portfolio: a novel ensemble portfolio optimization framework for broad commodity assets 期刊论文 Financial Innovation, 2021, 卷号: 7, 期号: 1 作者:  Li,Yuze;  Jiang,Shangrong;  Wei,Yunjie;  Wang,Shouyang 收藏  |  浏览/下载：17/0  |  提交时间：2021/10/26 Portfolio optimization  Bitcoin  Deep learning  Reinforcement learning  Variational mode decomposition   Predicting the 25th solar cycle using deep learning methods based on sunspot area data 期刊论文 RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2021, 卷号: 21, 期号: 7 作者:  Li, Qiang;  Wan, Miao;  Zeng, Shu-Guang;  Zheng, Sheng;  Deng LH(邓林华) 收藏  |  浏览/下载：27/0  |  提交时间：2021/09/13 Sun  activity  Sun  solar cycle prediction  Sun  sunspot area  Method  deep neural network   A hybrid method for short-term wind speed forecasting based on Bayesian optimization and error correction 期刊论文 JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2021, 卷号: 13, 期号: 3 作者:  Guo, Xiuting;  Zhu, Changsheng;  Hao, Jie;  Zhang, Shengcai;  Zhu, Lina 收藏  |  浏览/下载：14/0  |  提交时间：2021/10/14 Error correction  Forecasting  Machine learning  Speed  Wavelet transforms  Wind power  Bayesian optimization algorithms  Error correction models  Extreme learning machine  Hyper-parameter optimizations  Large-scale wind power  Prediction performance  Short-term wind speed forecasting  Wind speed prediction   Trade Volume Prediction Based on a Three-Stage Model When Arctic Sea Routes Open 期刊论文 SYMMETRY-BASEL, 2021, 卷号: 13, 期号: 4, 页码: 16 作者:  Sui, Yijie;  Fu, Dongjie;  Su, Fenzhen 收藏  |  浏览/下载：137/0  |  提交时间：2021/06/10 Arctic  route planning  Arctic sea route  trade forecast   Multistep Wind Speed Forecasting Based on a Hybrid Model of VMD and Nonlinear Autoregressive Neural Network 期刊论文 JOURNAL OF MATHEMATICS, 2021, 卷号: 2021, 页码: - 作者:  Zheng, Yuqiao;  Dong, Bo;  Liu, Yuhan;  Tong, Xiaolei;  Wang, Lei 收藏  |  浏览/下载：5/0  |  提交时间：2021/03/12 Short-term wind speed time series forecasting based on a hybrid method with multiple objective optimization for non-convex target 期刊论文 Energy, 2021, 卷号: 215 作者:  Dong, Yunxuan;  Wang, Jing;  Xiao, Ling;  Fu, Tonglin 收藏  |  浏览/下载：3/0  |  提交时间：2020/12/18 Convergence of numerical methods  Convolutional neural networks  Cost functions  Forecasting  Heuristic algorithms  Optimization  Time series  Wind powerComputation complexity  Convergence problems  Convexity-preserving  Heuristic optimization algorithms  Multiple-objective optimization  Optimal parameter  Wind speed forecasting  Wind speed time series   Short-term wind speed time series forecasting based on a hybrid method with multiple objective optimization for non-convex target 会议论文 作者:  Dong, Yunxuan;  Wang, Jing;  Xiao, Ling;  Fu, Tonglin 收藏  |  浏览/下载：2/0  |  提交时间：2020/12/18 Convergence of numerical methods  Convolutional neural networks  Cost functions  Forecasting  Heuristic algorithms  Optimization  Time series  Wind powerComputation complexity  Convergence problems  Convexity-preserving  Heuristic optimization algorithms  Multiple-objective optimization  Optimal parameter  Wind speed forecasting  Wind speed time series   A review of 6000-5000 cal BP climatic anomalies in China 期刊论文 QUATERNARY INTERNATIONAL, 2021, 卷号: 571, 页码: 58-72 作者:  Hou, Mei;  Wu, Wen Xiang 收藏  |  浏览/下载：16/0  |  提交时间：2021/04/25 6000-5000 cal BP climatic anomalies  China  Proxy records  Asia summer monsoon  Forcing mechanisms   ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1015-1024 作者:  Xiurui Hou;  Kai Wang;  Cheng Zhong;  Zhi Wei 收藏  |  浏览/下载：38/0  |  提交时间：2021/04/09 Graph convolution network  long-short term memory network  stock market forecasting  variational autoencoder (VAE)   A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 581-593 作者:  Zhao-Hua Liu 收藏  |  浏览/下载：13/0  |  提交时间：2021/07/20 Deep learning  fault diagnosis  fault prognosis  long and short time memory network (LSTM)  rolling bearing  rotating machinery  regularization  remaining useful life prediction (RUL)  recurrent neural network (RNN)