SiYXiN

Pinned Repositories

Library
Java Books Management System
Language:Java00
MyCode
Language:Java00
PM2.5_Time_Series_Analysis
ARIMAX and RNN+LSTM methods have been implemented for the prediction on PM2.5 (superfine particles in the air which are harmful to human health) by using the dataset “PRSA2017_Data_20130301-20170228.zip”. The dataset contains air pollutants data from 12 monitoring sites in China. The data was collected at regular 1-hour intervals from 01-Mar-2013 to 28-Feb-2017. Both the methods have been developed and their prediction performances have been evaluated and compared on each of the 12 sites.
Language:Jupyter Notebook00
SiYXin
00
yxsdemo
Language:Java00

SiYXiN's Repositories

SiYXiN/Library
Java Books Management System
Language:Java00
SiYXiN/MyCode
Language:Java00
SiYXiN/PM2.5_Time_Series_Analysis
ARIMAX and RNN+LSTM methods have been implemented for the prediction on PM2.5 (superfine particles in the air which are harmful to human health) by using the dataset “PRSA2017_Data_20130301-20170228.zip”. The dataset contains air pollutants data from 12 monitoring sites in China. The data was collected at regular 1-hour intervals from 01-Mar-2013 to 28-Feb-2017. Both the methods have been developed and their prediction performances have been evaluated and compared on each of the 12 sites.
Language:Jupyter Notebook00
SiYXiN/SiYXin
00
SiYXiN/yxsdemo
Language:Java00