Deep Learning to predicate PM 10, 2.5 of China(Beijing) and South Korea(Seoul).

Deep Learning PM 10

• A simple Neural networks model
• changechina4567seoul7 is China's PM2.5 Data (2014~2017) with Korea's PM10 Data(2017)
• I can't found China's PM10 Data so I used PM2.5 Data
• Korea PM10 Data was from http://cleanair.seoul.go.kr/main.htm
• China PM2.5 Data was from http://www.stateair.net/web/historical/1/1.html

GETTING STARTED:

• To compile the project on your own machine follow this steps:

1. Open DeepLearning-PM10.py

2. Just run Python.

3. You can change file between seouldata134567.svc and changechina4567seoul7.svc ex) seouldata134567.svc can predict 2017 data by Learning 2013~2016

4. Using this, you can guess China's air condition influence on Korea ex) Compare China 1417 with predict Seoul 17 to china 1417 with predict Seoul 17 (You have to make 2days term, that is moving time of PM10 from Beijing China to Seoul Korea)

SOFTWARE REQUIREMENTS FOR COMPILING:

• OS: Windows 7/8/10
• Python 3.6

LICENSE:

• https://github.com/astral2156