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。A Frequency-Weighted Energy Operator and complementary ensemble empirical mode decomposition for bearing fault detection
Yacine Imaouchen et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)
A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting
Mingfei Niu et al.
ATMOSPHERIC ENVIRONMENT (2016)
Development of ANFIS models for air quality forecasting and input optimization for reducing the computational cost and time
Kanchan Prasad et al.
ATMOSPHERIC ENVIRONMENT (2016)
Air quality assessment using a weighted Fuzzy Inference System
Miguel Angel Olvera-Garcia et al.
ECOLOGICAL INFORMATICS (2016)
A cloud model-based approach for water quality assessment
Dong Wang et al.
ENVIRONMENTAL RESEARCH (2016)
A hybrid ARIMA and Neural Networks model for PM-10 pollution estimation: The case of Chiang Mai city moat area
Rati Wongsathan et al.
2016 INTERNATIONAL ELECTRICAL ENGINEERING CONGRESS, IEECON2016 (2016)
The forecasting research of early warning systems for atmospheric pollutants: A case in Yangtze River Delta region
Yiliao Song et al.
ATMOSPHERIC ENVIRONMENT (2015)
A combined model based on data pre-analysis and weight coefficients optimization for electrical load forecasting
Liye Xiao et al.
ENERGY (2015)
A robust combination approach for short-term wind speed forecasting and analysis - Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme Learning Machine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts using a GPR (Gaussian Process Regression) model
Jianzhou Wang et al.
ENERGY (2015)
An innovative approach for determination of air quality health index
Amit Kumar Gorai et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2015)
Analysis and forecasting of the particulate matter (PM) concentration levels over four major cities of China using hybrid models
Shanshan Qin et al.
ATMOSPHERIC ENVIRONMENT (2014)
A hybrid model for PM2.5 forecasting based on ensemble empirical mode decomposition and a general regression neural network
Qingping Zhou et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2014)
Differential effects of fine and coarse particles on daily emergency cardiovascular hospitalizations in Hong Kong
Hong Qiu et al.
ATMOSPHERIC ENVIRONMENT (2013)
Prediction of 24-hour-average PM2.5 concentrations using a hidden Markov model with different emission distributions in Northern California
Wei Sun et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2013)
An Alternative Formulation for the Empirical Mode Decomposition
Thomas Oberlin et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2012)
Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression
Kris De Brabanter et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)
An enhanced PM2.5 air quality forecast model based on nonlinear regression and back-trajectory concentrations
W. Geoffrey Cobourn
ATMOSPHERIC ENVIRONMENT (2010)
Biogeography-based Optimization for Economic Load Dispatch Problems
P. K. Roy et al.
ELECTRIC POWER COMPONENTS AND SYSTEMS (2010)
Characterization of personal exposure concentration of fine particles for adults and children exposed to high ambient concentrations in Beijing, China
Xuan Du et al.
JOURNAL OF ENVIRONMENTAL SCIENCES (2010)
COMPLEMENTARY ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOVEL NOISE ENHANCED DATA ANALYSIS METHOD
Jia-Rong Yeh et al.
ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS (2010)
Combining deterministic and statistical approaches for PM10 forecasting in Europe
I. B. Konovalov et al.
ATMOSPHERIC ENVIRONMENT (2009)
A New Cognitive Model: Cloud Model
Deyi Li et al.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2009)
Evaluation and intercomparison of meteorological predictions by five MM5-PBL parameterizations in combination with three land-surface models
Zhiwei Han et al.
ATMOSPHERIC ENVIRONMENT (2008)
Biogeography-Based Optimization
Dan Simon
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2008)
Analysis of the intrinsic mode functions
RC Sharpley et al.
CONSTRUCTIVE APPROXIMATION (2006)
A B-spline approach for empirical mode decompositions
QH Chen et al.
ADVANCES IN COMPUTATIONAL MATHEMATICS (2006)
A comparison study of improved Hilbert-Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing
ZK Peng et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2005)
A confidence limit for the empirical mode decomposition and Hilbert spectral analysis
NE Huang et al.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2003)
Asymptotic behaviors of support vector machines with Gaussian kernel
SS Keerthi et al.
NEURAL COMPUTATION (2003)
分享论文
