A Self-organizing LSTM-Based Approach to PM2.5 Forecast
(2018)
Presentation / Conference Contribution
Liu, X., Liu, Q., Zou, Y., & Wang, G. (2018, June). A Self-organizing LSTM-Based Approach to PM2.5 Forecast. Presented at 4th International Conference on Cloud Computing and Security (ICCCS 2018), Haikou, China
Nanjing has been listed as the one of the worst performers across China with respect to the high level of haze-fog, which impacts people's health greatly. For the severe condition of haze-fog, PM2.5 is the main cause element of haze-fog pollution in... Read More about A Self-organizing LSTM-Based Approach to PM2.5 Forecast.