Research and Application of an Air Quality Early Warning System Based on a Modified Least Squares Support Vector Machine and a Cloud Model
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Research and Application of an Air Quality Early Warning System Based on a Modified Least Squares Support Vector Machine and a Cloud Model
Authors
Keywords
-
Journal
International Journal of Environmental Research and Public Health
Volume 14, Issue 3, Pages 249
Publisher
MDPI AG
Online
2017-03-02
DOI
10.3390/ijerph14030249
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Frequency-Weighted Energy Operator and complementary ensemble empirical mode decomposition for bearing fault detection
- (2017) Yacine Imaouchen et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting
- (2016) Mingfei Niu et al. ATMOSPHERIC ENVIRONMENT
- Development of ANFIS models for air quality forecasting and input optimization for reducing the computational cost and time
- (2016) Kanchan Prasad et al. ATMOSPHERIC ENVIRONMENT
- Air quality assessment using a weighted Fuzzy Inference System
- (2016) Miguel Ángel Olvera-García et al. Ecological Informatics
- A cloud model-based approach for water quality assessment
- (2016) Dong Wang et al. ENVIRONMENTAL RESEARCH
- The forecasting research of early warning systems for atmospheric pollutants: A case in Yangtze River Delta region
- (2015) Yiliao Song et al. ATMOSPHERIC ENVIRONMENT
- A combined model based on data pre-analysis and weight coefficients optimization for electrical load forecasting
- (2015) Liye Xiao et al. ENERGY
- 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
- (2015) Jianzhou Wang et al. ENERGY
- An innovative approach for determination of air quality health index
- (2015) Amit Kumar Gorai et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Analysis and forecasting of the particulate matter (PM) concentration levels over four major cities of China using hybrid models
- (2014) Shanshan Qin et al. ATMOSPHERIC ENVIRONMENT
- A hybrid model for PM 2.5 forecasting based on ensemble empirical mode decomposition and a general regression neural network
- (2014) Qingping Zhou et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Differential effects of fine and coarse particles on daily emergency cardiovascular hospitalizations in Hong Kong
- (2012) Hong Qiu et al. ATMOSPHERIC ENVIRONMENT
- An Alternative Formulation for the Empirical Mode Decomposition
- (2012) T. Oberlin et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Prediction of 24-hour-average PM2.5 concentrations using a hidden Markov model with different emission distributions in Northern California
- (2012) Wei Sun et al. SCIENCE OF THE TOTAL ENVIRONMENT
- An enhanced PM2.5 air quality forecast model based on nonlinear regression and back-trajectory concentrations
- (2010) W. Geoffrey Cobourn ATMOSPHERIC ENVIRONMENT
- Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression
- (2010) Kris De Brabanter et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Characterization of personal exposure concentration of fine particles for adults and children exposed to high ambient concentrations in Beijing, China
- (2010) Xuan Du et al. JOURNAL OF ENVIRONMENTAL SCIENCES
- Combining deterministic and statistical approaches for PM10 forecasting in Europe
- (2009) I.B. Konovalov et al. ATMOSPHERIC ENVIRONMENT
- Biogeography-based Optimization for Economic Load Dispatch Problems
- (2009) P. K. Roy et al. ELECTRIC POWER COMPONENTS AND SYSTEMS
- A new cognitive model: Cloud model
- (2009) Deyi Li et al. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
- Biogeography-Based Optimization
- (2008) D. Simon IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Evaluation and intercomparison of meteorological predictions by five MM5-PBL parameterizations in combination with three land-surface models
- (2007) Zhiwei Han et al. ATMOSPHERIC ENVIRONMENT
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started