-
1
-
-
33646241633
-
Learning long-Term dependencies in NARX recurrent neural networks
-
Lin, T., Horne, B., Tino, P., & Giles, "Learning long-Term dependencies in NARX recurrent neural networks, " IEEE Transactions on Neural Networks, 1996, 7(6), 1329-1338
-
(1996)
IEEE Transactions on Neural Networks
, vol.7
, pp. 61329-61338
-
-
Lin, T.1
Horne, B.2
Tino, P.3
Giles4
-
2
-
-
0034293152
-
Learning to forget: Continual prediction with LSTM
-
October
-
Gers, F. A., Schmidhuber, J., & Cummins, "Learning to forget: continual prediction with LSTM, " Neural Computation, October 2000, p.2451-2471
-
(2000)
Neural Computation
, pp. 2451-2471
-
-
Gers, F.A.1
Schmidhuber, J.2
Cummins3
-
3
-
-
9944223325
-
Neural network prediction model for fine particulate matter (PM2.5) on the USeMexico border in El Paso (Texas) and Ciudad Juarez (Chihuahua)
-
J.B. Ordieresa, E.P. Vergara, R.S. Capuz, "Neural network prediction model for fine particulate matter (PM2.5) on the USeMexico border in El Paso (Texas) and Ciudad Juarez (Chihuahua), " Environmental Modelling & Software, 2005, p.547-559
-
(2005)
Environmental Modelling & Software
, pp. 547-559
-
-
Ordieresa, J.B.1
Vergara, E.P.2
Capuz, R.S.3
-
5
-
-
84905443514
-
A hybrid model for PM2.5 forecasting based on ensemble empirical mode decomposition and a general regression neural network
-
Qingping Zhou, Haiyan Jiang, Jianzhou Wang, Jianling Zhou, "A hybrid model for PM2.5 forecasting based on ensemble empirical mode decomposition and a general regression neural network, " Science of the Total Environment, 2014, p.264-274
-
(2014)
Science of the Total Environment
, pp. 264-274
-
-
Zhou, Q.1
Jiang, H.2
Wang, J.3
Zhou, J.4
-
6
-
-
84901006073
-
Complex time series analysis of PM10 and PM2.5 for a coastal site using artificial neural network modelling and k-means clustering
-
M.A. Elangasinghe, N. Singhal, K.N. Dirks, "Complex time series analysis of PM10 and PM2.5 for a coastal site using artificial neural network modelling and k-means clustering, " Atmospheric Environment, 2014, p.106-116
-
(2014)
Atmospheric Environment
, pp. 106-116
-
-
Elangasinghe, M.A.1
Singhal, N.2
Dirks, K.N.3
-
7
-
-
17644370689
-
Air quality prediction in Milan: Feed-forward neural networks, pruned neural networks and lazy learning
-
Giorgio Corani, "Air quality prediction in Milan: feed-forward neural networks, pruned neural networks and lazy learning, " Ecological Modelling, 2005, p.513-529
-
(2005)
Ecological Modelling
, pp. 513-529
-
-
Corani, G.1
-
8
-
-
84882768416
-
Air quality prediction using optimal neural networks with stochastic variables
-
Ana Russoa, Frank Raischel, Pedro G. Lind, "Air quality prediction using optimal neural networks with stochastic variables, " Atmospheric Environment, 2013, p.822-830
-
(2013)
Atmospheric Environment
, pp. 822-830
-
-
Russoa, A.1
Raischel, F.2
Lind, P.G.3
-
9
-
-
84884684479
-
Estimating groundlevel PM2.5 concentrations in the Southeastern United States using MAIAC AOD retrievals and a two-stage model
-
January
-
Xuefei Hu, Lance A. Waller, Alexei Lyapustin, "Estimating groundlevel PM2.5 concentrations in the Southeastern United States using MAIAC AOD retrievals and a two-stage model, " Remote Sensing of Environment, January 2014, P.220-232.
-
(2014)
Remote Sensing of Environment
, pp. 220-232
-
-
Hu, X.1
Waller, L.A.2
Lyapustin, A.3
-
10
-
-
84911915710
-
Systematic review and meta-Analysis of the adverse health effects of ambient PM2.5 and PM10 pollution in the Chinese population
-
January
-
Feng Lu, Dongqun Xu, Yibin Cheng, Shaoxia Dong, Chao Guo, Xue Jiang, Xiaoying Zheng, "Systematic review and meta-Analysis of the adverse health effects of ambient PM2.5 and PM10 pollution in the Chinese population, " Environmental Research, Vol. 136, January 2015, pp. 196-204.
-
(2015)
Environmental Research
, vol.136
, pp. 196-204
-
-
Lu, F.1
Xu, D.2
Cheng, Y.3
Dong, S.4
Guo, C.5
Jiang, X.6
Zheng, X.7
-
11
-
-
85017278098
-
Constructing pm2.5 map based on mobile pm2.5 sensor and cloud platform
-
Nadi, Fiji, 8-10 Dec 2016
-
Yung-Sheng Lin, Yu-Hsiang Chang, YUE-SHAN CHANG , "Constructing PM2.5 Map Based on Mobile PM2.5 Sensor and Cloud Platform, "2016 IEEE International Conference on Computer and Information Technology (CIT), Nadi, Fiji, 8-10 Dec. 2016, pp. 702-707.
-
(2016)
IEEE International Conference on Computer and Information Technology (CIT)
, pp. 702-707
-
-
Lin, Y.1
Chang, Y.2
Chang, Y.3
-
12
-
-
85083951076
-
Kingma jimmy ba adam: A method for stochastic optimization
-
May 7-9, 2015, San Diego
-
Diederik P. Kingma, Jimmy Ba, "Adam: A Method for Stochastic Optimization, " 2015 International Conference for Learning Representations, May 7-9, 2015, San Diego, https://arxiv.org/abs/1412.6980v9.
-
(2015)
International Conference for Learning Representations
-
-
Diederik, P.1
-
13
-
-
33644807437
-
Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases
-
F. Dominici, R. D. Peng, M. L. Bell, L. Pham, A. McDermott, S. L. Zeger, et al. (2006). "Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases." JAMA: The Journal of the American Medical Association, 295, 1127-1134.
-
(2006)
JAMA the Journal of the American Medical Association
, vol.295
, pp. 1127-1134
-
-
Dominici, F.1
Peng, R.D.2
Bell, M.L.3
Pham, L.4
McDermott, A.5
Zeger, S.L.6
-
14
-
-
85049388694
-
Big data platform for air quality analysis and prediction
-
Yue Shan Chang, Kuan-Ming Lin, Yi-Ting Tsai, Yu-Ren Zeng, Cheng-Xiang Hung, "Big data platform for air quality analysis and prediction, " 2018 27th Wireless and Optical Communication Conference (WOCC), 30 April-1 May 2018, Hualien, Taiwan, pp. 111-113.
-
(2018)
27th Wireless and Optical Communication Conference (WOCC), 30 April-1 May 2018, Hualien, Taiwan
, pp. 111-113
-
-
Shan Chang, Y.1
Lin, K.2
Tsai, Y.3
Zeng, Y.4
Hung, C.5
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