Combining forward with recurrent neural networks for hourly air quality prediction in Northwest of China
出版年份 2020 全文链接
标题
Combining forward with recurrent neural networks for hourly air quality prediction in Northwest of China
作者
关键词
-
出版物
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-05-17
DOI
10.1007/s11356-020-08948-1
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j
- (2019) Steven Lang et al. KNOWLEDGE-BASED SYSTEMS
- A novel optimal-hybrid model for daily air quality index prediction considering air pollutant factors
- (2019) Qunli Wu et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Air pollution prediction with clustering-based ensemble of evolving spiking neural networks and a case study for London area
- (2019) Piotr S. Maciąg et al. ENVIRONMENTAL MODELLING & SOFTWARE
- A review of artificial neural network models for ambient air pollution prediction
- (2019) Sheen Mclean Cabaneros et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Improving air quality prediction accuracy at larger temporal resolutions using deep learning and transfer learning techniques
- (2019) Jun Ma et al. ATMOSPHERIC ENVIRONMENT
- A novel wind speed forecasting model based on moving window and multi-objective particle swarm optimization algorithm
- (2019) Zhaoshuang He et al. APPLIED MATHEMATICAL MODELLING
- A clustering-based ensemble approach with improved pigeon-inspired optimization and extreme learning machine for air quality prediction
- (2019) Feng Jiang et al. APPLIED SOFT COMPUTING
- Air quality prediction by neuro-fuzzy modeling approach
- (2019) Yu-Chun Lin et al. APPLIED SOFT COMPUTING
- Prediction of hourly PM 2.5 using a space-time support vector regression model
- (2018) Wentao Yang et al. ATMOSPHERIC ENVIRONMENT
- Prediction of PM 2.5 concentration based on the similarity in air quality monitoring network
- (2018) Hong-di He et al. BUILDING AND ENVIRONMENT
- A Deep Spatial-Temporal Ensemble Model for Air Quality Prediction
- (2018) Junshan Wang et al. NEUROCOMPUTING
- A novel model for hourly PM2.5 concentration prediction based on CART and EELM
- (2018) Zhigen Shang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Developing a statistical based approach for predicting local air quality in complex terrain area
- (2017) L.K. Kwok et al. Atmospheric Pollution Research
- Recursive neural network model for analysis and forecast of PM10 and PM2.5
- (2017) Fabio Biancofiore et al. Atmospheric Pollution Research
- Developing a methodology to predict PM10concentrations in urban areas using generalized linear models
- (2016) J. M. Garcia et al. ENVIRONMENTAL TECHNOLOGY
- Functional echo state network for time series classification
- (2016) Qianli Ma et al. INFORMATION SCIENCES
- Artificial neural networks forecasting of PM 2.5 pollution using air mass trajectory based geographic model and wavelet transformation
- (2015) Xiao Feng et al. ATMOSPHERIC ENVIRONMENT
- Performance of Using Cascade Forward Back Propagation Neural Networks for Estimating Rain Parameters with Rain Drop Size Distribution
- (2014) Siddi Tengeleng et al. Atmosphere
- Real-time air quality forecasting, part I: History, techniques, and current status
- (2012) Yang Zhang et al. ATMOSPHERIC ENVIRONMENT
- Linear and nonlinear modeling approaches for urban air quality prediction
- (2012) Kunwar P. Singh et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A study on the potential applications of satellite data in air quality monitoring and forecasting
- (2011) Can Li et al. ATMOSPHERIC ENVIRONMENT
- A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer
- (2010) Heesung Yoon et al. JOURNAL OF HYDROLOGY
- Air pollution forecasting in Ankara, Turkey using air pollution index and its relation to assimilative capacity of the atmosphere
- (2009) D. Deniz Genc et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Air quality modeling: From deterministic to stochastic approaches
- (2008) Vivien Mallet et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
- Quality and performance of a PM10 daily forecasting model☆
- (2007) Ernst Stadlober et al. ATMOSPHERIC ENVIRONMENT
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