Update README.md

Author: papari1123

README.md

@@ -5,7 +5,7 @@
 - To do this, we propose a **Deep Particulate Matter Network** with a Separated Input model based on deep learning by **using ConvGRU, which can simultaneously analyze spatiotemporal information to consider the diffusion of particulate matter**.</br>
 - This study used three main novel method to increase prediction accuracy (see 6.model). <br/>
 - Experiments are designed **to predict the PM10 over the next N hour (N=1,4,12,24) with a spatial resolution of 8x10 grids over all regions in Korea**. The proposed Deep-learning model shows better prediction performance than the previous deep learning (LSTM, CNN+LSTM, ConvLSTM) based models .</br>
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+- If you want to more informations, please see https://github.com/papari1123/Research-of-Particulate-Matter-Prediction-Modeling-Based-on-Deep-Learning/blob/master/Paper/%EB%94%A5%EB%9F%AC%EB%8B%9D%20%EA%B8%B0%EB%B0%98%20%EA%B5%AD%EB%82%B4%20%EB%AF%B8%EC%84%B8%EB%A8%BC%EC%A7%80%20%EC%98%88%EC%B8%A1%20%EB%AA%A8%EB%8D%B8%EB%A7%81%20%EC%97%B0%EA%B5%AC.pdf.
 ## 2.Skill
 #### Language 
 Python