CORC

在结果中检索

CORC

浏览/检索结果: 共19条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
A sequential feature extraction method based on discrete wavelet transform, phase space reconstruction, and singular value decomposition and an improved extreme learning machine for rolling bearing fault diagnosis 期刊论文
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 2018, 卷号: 232, 期号: 6, 页码: 635-649
作者:  Li, D. Z.;  Zheng, X.;  Xie, Q. W.;  Jin, Q. B.
收藏  |  浏览/下载：189/0  |  提交时间：2019/07/12
A secondary-decomposition-ensemble learning paradigm for forecasting PM2.5 concentration 期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2018, 卷号: 9, 期号: 6, 页码: 989-999
作者:  Gan, Kai;  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie
收藏  |  浏览/下载：44/0  |  提交时间：2018/11/16
Wavefront reconstruction based on the Fresnel zone plane with hybrid focal lengths 期刊论文
OPTICS COMMUNICATIONS, 2018, 卷号: 425, 页码: 85-90
作者:  Kong, Qingfeng;  Wang, Shuai;  Yang, Ping;  Yu, Xin;  Pang, Boqing
收藏  |  浏览/下载：27/0  |  提交时间：2019/08/23
An Accurate Centroiding Algorithm for PSF Reconstruction 期刊论文
The Astronomical Journal, 2018, 卷号: 156, 期号: 1
作者:  Lu,Tianhuan;  Luo,Wentao;  Zhang,Jun;  Zhang,Jiajun;  Li,Hekun
收藏  |  浏览/下载：49/0  |  提交时间：2019/04/08
A measurement of the cp asymmetry difference between lambda(+)(c) -> pk(-)k(+) and p pi(-)pi(+) decays 期刊论文
Journal of high energy physics, 2018, 期号: 3, 页码: 21
作者:  Aaij, R.;  Adeva, B.;  Adinolfi, M.;  Ajaltouni, Z.;  Akar, S.
收藏  |  浏览/下载：60/0  |  提交时间：2019/04/23
Nonlinear GRAPPA Reconstruction with Virtual Coil Conception 会议论文
巴黎, 2018年
作者:  Haifeng Wang;  Yuchou Chang;  Leslie Ying;  Xin Liu;  Dong Liang
收藏  |  浏览/下载：15/0  |  提交时间：2019/01/31
Aero-engine Starting Performance Parameters Prediction Based on AdaBoost.RT_ELM Algorithm 会议论文
2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018-01-01
作者:  Liu, Min;  Wang, Rui;  Zhang, Shuo
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/02
Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks 期刊论文
Energy Conversion and Management, 2018, 卷号: 155, 页码: 188-200
作者:  Liu, Hui;  Mi, Xiwei;  Li, Yanfei*
收藏  |  浏览/下载：41/0  |  提交时间：2019/12/03
Wind speed forecasting  Wavelet packet decomposition  Complete Ensemble Empirical Mode Decomposition with Adaptive Noise  Artificial Neural Network  ANN  Artificial Neural Network  AR  Auto Regressive  ARIMA  Auto Regressive Integrated Moving Average  BA  Bat Algorithm  BP  Back-propagation Neural Network  CEEMDAN  Complete Ensemble Empirical Mode Decomposition  CG  Conjugate Gradient  CLSFPA  Flower Pollination Algorithm with Chaotic Local Search  CNN  Convolutional Neural Network  CS  Compressive Sensing  CSA  Cuckoo Search Algorithm  EEMD  Ensemble Empirical Mode Decomposition  ESM  Exponential Smoothing Method  FA  Firefly Algorithm  FAC  First-order Adaptive Coefficient  GA  Genetic Algorithm  GRNN  General Regression Neural Network  HBSA  Hybrid Backtracking Search Algorithm  HWM  Holt-Winters Model  IMFs  Intrinsic Mode Functions  IS  Input parameter Selection  KF  Kalman filter  LSSVM  Least Square Support Vector Machine  MAE  Mean Absolute Error  MAPE  Mean Absolute Percentage Error  MLP  Multilayer Perceptron Neural Network  MOBA  Multi Objective Bat Algorithm  NNCT  No Negative Constraint Theory  NSGA  Non-dominated Sorting Genetic Algorithm  OVMD  Optimized Variational Mode Decomposition  PSO  Particle Swam Optimization  PSOSA  Particle Swarm Optimization based on Simulated Annealing  PSR  Phase Space Reconstruction  RBF  Radial Basis Function Neural Network  RMSE  Root Mean Square Error  SAC  Second-order Adaptive Coefficient  SAM  Seasonal Adjustment Method  SDA  Secondary Decomposition Algorithm  SEA  Seasonal Exponential Adjustment  SOM  Self-Organizing feature Maps  SSA  Singular Spectrum Analysis  SVR  Support Vector Regression  VMD  Variational Mode Decomposition  v-SVM  v-Support Vector Machine  WD  Wavelet Decomposition  WPD  Wavelet Packet Decomposition  
Data fusion combined with echo state network for multivariate time series prediction in complex electromechanical system 期刊论文
COMPUTATIONAL & APPLIED MATHEMATICS, 2018, 卷号: 37, 页码: 5920-5934
作者:  Liang, Yanjie;  Gao, Zhiyong;  Gao, Jianmin;  Wang, Rongxi;  Zhao, Hao
收藏  |  浏览/下载：2/0  |  提交时间：2019/11/26

©版权所有 ©2017 CSpace - Powered by CSpace