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A new method to mitigate data fluctuations for time series prediction 期刊论文
APPLIED MATHEMATICAL MODELLING, 2019, 卷号: 65, 页码: 390-407
作者:  Li, Chong;  Yang, Yingjie;  Liu, Sifeng
收藏  |  浏览/下载:8/0  |  提交时间:2019/11/21
基于Holt指数平滑模型的油井产量动态预测 期刊论文
自动化与仪表, 2018, 卷号: 33, 期号: 4, 页码: 68-70
作者:  张立婷;  尚文利;  曾鹏;  刘春宇;  李世超
收藏  |  浏览/下载:47/0  |  提交时间:2018/06/17
Case study for investigating groundwater and the future of mountain spring discharges in Southern Italy 期刊论文
Journal of Mountain Science, 2017, 卷号: 14, 期号: 9, 页码: 1791-1800
作者:  Nazzareno DIODATO;  Gianni BELLOCCHI;  Francesco FIORILLO;  Gerardo VENTAFRIDDA
收藏  |  浏览/下载:15/0  |  提交时间:2017/10/09
Fault Prediction and Damage Determination Method for Brushless DC Motor Based on ES-GM 会议论文
Annual Reliability and Maintainability Symposium (RAMS), Orlando, FL, 2017-01-23
作者:  Xuan, Jinquan;  Wang, Xiaohong;  Wang, Lizhi;  Zhao, Xinlei;  Yao, Jun
收藏  |  浏览/下载:3/0  |  提交时间:2019/12/30
水泥熟料生产过程热效率监测、评估与优化方法研究 学位论文
博士: 中国科学院沈阳自动化研究所, 2016
作者:  刘钊
收藏  |  浏览/下载:132/0  |  提交时间:2016/12/26
基于鲁棒Holt-Winter模型的超短期配变负荷预测方法 期刊论文
2016, 2016
吴越强; 吴文传; 李飞; 张伯明; NGO Vietcuong; WU Wenchuan; LI Fei; ZHANG Boming
收藏  |  浏览/下载:3/0
基于指数平滑和改进增量SVR的齿轮寿命预测研究 Research of Remaining Useful Life Prediction of Gear based on Exponential Smoothing and Improved Incremental SVR 期刊论文
2016, 卷号: 40, 页码: 30-34
作者:  刘珍翔[1];  陈晓慧[1]
收藏  |  浏览/下载:4/0  |  提交时间:2019/11/29
全球陆地保护区发展趋势和布局变化分析 学位论文
硕士, 北京: 中国科学院研究生院, 2015
作者:  范边
收藏  |  浏览/下载:40/0  |  提交时间:2016/07/20
Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions 期刊论文
Energy Conversion and Management, 2015, 卷号: 92, 页码: 67-81
作者:  Liu, Hui*;  Tian, Hong-Qi;  Li, Yan-Fei;  Zhang, Lei
收藏  |  浏览/下载:21/0  |  提交时间:2019/12/03
AA  Apriori Algorithm  RBF  Radial Basis Functions  SVR  Support Vector Regression  WDF  Weibull Distribution Function  MSM  Markov Switching Model  BI  Bayesian Interface  PM  Persistent Model  AR  Auto Regressive  ANN  artificial neural networks  BSBM  Bayesian Structural Break Model  KRRM  Kernel Ridge Regression Method  ALS  Active Learning Strategies  SAA  Seasonal Adjustment Algorithm  ESM  Exponential Smoothing Method  MLP  Multilayer Perceptron  BP  Back Propagation  KSF  Kalman Short-term Filtering  NWP  Numerical Weather Prediction  GA  Genetic Algorithm  PSO  Particle Swarm Optimization  PCA  Principal Component Analysis  FAC  First-order Adaptive Coefficient  SAC  Second-order Adaptive Coefficient  BT  Bayesian Theory  SBM  Structural Break Modeling  UKF  Unscented Kalman Filter  OFM  Organizing Feature Maps  EMD  Empirical Mode Decomposition  WT  Wavelet Transform  SVM  Support Vector Machine  ARIMA  Auto Regressive Integrated Moving Average  MAS  Multiple Architecture System  MLR  Multiple Linear Regression  Adaboost  Adaptive Boosting  GD-ALR-BP  Gradient Descent with Adaptive Learning Rate Back Propagation  GDM-ALR-BP  Gradient Descent with Momentum and Adaptive Learning Rate Back Propagation  CG-BP-FR  Conjugate Gradient Back Propagation with Fletcher-Reeves Updates  BFGS  Broyden–Fletcher–Goldfarb–Shanno  Wind energy  Wind speed forecasting  Wind speed predictions  Adaboost algorithm  Neural networks  
Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks 期刊论文
Applied Energy, 2015, 卷号: 157, 页码: 183-194
作者:  Liu, Hui*;  Tian, Hong-Qi;  Liang, Xi-Feng;  Li, Yan-Fei
收藏  |  浏览/下载:25/0  |  提交时间:2019/12/03
ARIMA  Auto Regressive Integrated Moving Average  ANN  Artificial Neural Networks  KF  Kalman Filter  MSM  Markov Switching Model  PCA  Principal Component Analysis  AA  Apriori Algorithm  BT  Bayesian Theory  SBM  Structural Break Modeling  GMCM  Gaussian Mixture Copula Model  NWP  Numerical Weather Prediction  KSF  Kalman Short-term Filtering  HIRLAM  High Resolution Limited Area Model  BP  Back Propagation  RBF  Radial Basis Function  ALE  Adaptive Linear Element  MAS  Multiple Architecture System  MLR  Multiple Linear Regression  MLP  Multi-Layer Perceptron  RBF  Radial Basis Function  SVM  Support Vector Machine  ABA  Ada-boost Algorithm  PSO  Particle Swarm Optimization  FAC  First-order Adaptive Coefficient  SAC  Second-order Adaptive Coefficient  SAA  Seasonal Adjustment Algorithm  ESM  Exponential Smoothing Method  MFNN  Multi-layer Feed-forward Neural Networks  FRR  Fuzzy Rough Regression  ELM  Extreme Learning Machines  MM5  Fifth Generation Mesoscale Model  GNWP  Global Numerical Weather Prediction  EPA  Evolutionary Programming Algorithm  OFM  Organizing Feature Maps  WD  Wavelet Decomposition  WPD  Wavelet Packet Decomposition  NF  Neuro-Fuzzy  ANFIS  Adaptive Neuro-Fuzzy Inference Systems  PM  Persistent Model  UKF  Unscented Kalman Filter  SVR  Support Vector Regression  FEEMD  Fast Ensemble Empirical Mode Decomposition  HM  Hammerstein Model  AR  Auto Regressive  EMD  Empirical Mode Decomposition  SDA  Secondary Decomposition Algorithm  PRWM  Persistent Random Walk Model  IMFs  Intrinsic Mode Functions  EEMD  Ensemble Empirical Mode Decomposition  GD-BP  Gradient Descent Back Propagation  GDM-BP  Gradient Descent with Momentum Back Propagation  GD-ALR-BP  Gradient Descent with Adaptive Learning Rate Back Propagation  GDM-ALR-BP  Gradient Descent with Momentum and Adaptive Learning Rate Back Propagation  CG-BP-FRU  Conjugate Gradient Back Propagation with Fletcher-Reeves Updates  CG-BP-PR  Conjugate Gradient Back Propagation with Polak-Ribiére Update  CG-BP-PBR  Conjugate Gradient Back Propagation with Powell-Beale Restarts  SCG-BP  Scaled Conjugate Gradient Back Propagation  BFGS-BP  Broyden-Fletcher-Goldfarb-Shanno Back Propagation  OSS-BP  One Step Secant Back Propagation  LM-BP  Levenberg Marquardt Back Propagation  MAE  Mean Absolute Error  MAPE  Mean Absolute Percentage Error  RMSE  Root Mean Square Error  Wind speed forecasting  Secondary decomposition algorithm  Wavelet packet decomposition  Fast ensemble empirical mode decomposition  Elman neural networks  


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