相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Bearing Fault Feature Extraction Method Based on GA-VMD and Center Frequency
Yuxing Li et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2022)
Particle Swarm Optimization Fractional Slope Entropy: A New Time Series Complexity Indicator for Bearing Fault Diagnosis
Yuxing Li et al.
FRACTAL AND FRACTIONAL (2022)
EMD and LSTM Hybrid Deep Learning Model for Predicting Sunspot Number Time Series with a Cyclic Pattern
Taesam Lee
SOLAR PHYSICS (2020)
Forecasting Sunspot Time Series Using Deep Learning Methods
Zeydin Pala et al.
SOLAR PHYSICS (2019)
Research and application of a novel hybrid decomposition-ensemble learning paradigm with error correction for daily PM10 forecasting
Hongyuan Luo et al.
ATMOSPHERIC RESEARCH (2018)
Short term wind power forecasting using hybrid variational mode decomposition and multi-kernel regularized pseudo inverse neural network
Jyotirmayee Naik et al.
RENEWABLE ENERGY (2018)
Short-term wind speed prediction: Hybrid of ensemble empirical mode decomposition, feature selection and error correction
Yan Jiang et al.
ENERGY CONVERSION AND MANAGEMENT (2017)
Sunspots Time-Series Prediction Based on Complementary Ensemble Empirical Mode Decomposition and Wavelet Neural Network
Guohui Li et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2017)
Deep learning based ensemble approach for probabilistic wind power forecasting
Huai-zhi Wang et al.
APPLIED ENERGY (2017)
A combined model based on multiple seasonal patterns and modified firefly algorithm for electrical load forecasting
Liye Xiao et al.
APPLIED ENERGY (2016)
Short-term wind power combined forecasting based on error forecast correction
Zhengtang Liang et al.
ENERGY CONVERSION AND MANAGEMENT (2016)
Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization
Seyedali Mirjalili et al.
EXPERT SYSTEMS WITH APPLICATIONS (2016)
The study and application of a novel hybrid forecasting model - A case study of wind speed forecasting in China
Jian-Zhou Wang et al.
APPLIED ENERGY (2015)
Error correction method based on data transformational GM(1,1) and application on tax forecasting
Zhijun Yu et al.
APPLIED SOFT COMPUTING (2015)
Short-term wind power prediction based on LSSVM-GSA model
Xiaohui Yuan et al.
ENERGY CONVERSION AND MANAGEMENT (2015)
Improving flow forecasting by error correction modelling in altered catchment conditions
Francesca Pianosi et al.
HYDROLOGICAL PROCESSES (2014)
Predicting the solar maximum with the rising rate
Du ZhanLe et al.
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY (2012)
A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting
Shuhaida Ismail et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Prediction of sunspot number amplitude and solar cycle length for cycles 24 and 25
N. R. Rigozo et al.
JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS (2011)
The prediction method of similar cycles
Zhan-Le Du et al.
RESEARCH IN ASTRONOMY AND ASTROPHYSICS (2011)
Long-term sunspot number prediction based on EMD analysis and AR model
Tong Xu et al.
CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS (2008)
Solar activity forecast with a dynamo model
Jie Jiang et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2007)
Extreme learning machine: Theory and applications
Guang-Bin Huang et al.
NEUROCOMPUTING (2006)
分享论文
