2019³â Ãß°èÇмú´ëȸ
Current Result Document : 21 / 21
ÇѱÛÁ¦¸ñ(Korean Title) |
GRU¸¦ ÀÌ¿ëÇÑ ¹Ì¼¼¸ÕÁö(PM10) ³óµµ ¿¹Ãø ¸ðµ¨ |
¿µ¹®Á¦¸ñ(English Title) |
Particulate Matter(PM10) Concentration Prediction Model using GRU |
ÀúÀÚ(Author) |
Á¤¿ëÁø
Á¶°æ¿ì
ÀÌÁ¾¼º
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Yong-jin Jung
Kyoung-woo Cho
Jong-sung Lee
Chang-heon Oh
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¿ø¹®¼ö·Ïó(Citation) |
VOL 23 NO. 02 PP. 0644 ~ 0646 (2019. 10) |
Çѱ۳»¿ë (Korean Abstract) |
Á¤È®ÇÑ ¹Ì¼¼¸ÕÁö ¿¹º¸ ¼ºñ½º¸¦ À§ÇØ ÃÖ±Ù ½Å°æ¸Á ¾Ë°í¸®ÁòÀ» ÀÌ¿ëÇÑ ¹Ì¼¼¸ÕÁö ³óµµ ¿¹ÃøÀÇ ¿¬±¸°¡ ÁøÇàµÇ°í ÀÖ´Ù. º» ³í¹®¿¡¼´Â ½Ã°è¿ Ư¼ºÀ» °¡Áö´Â ¹Ì¼¼¸ÕÁö ³óµµÀÇ ¿¹Ãø¿¡¼ ¼øȯ½Å°æ¸Á ¾Ë°í¸®Áò Áß GRU ¾Ë°í¸®ÁòÀ» ÀÌ¿ëÇÏ¿© ¹Ì¼¼¸ÕÁö ³óµµ ¿¹Ãø ¸ðµ¨À» ¼³°èÇÑ´Ù. ±â»ó µ¥ÀÌÅÍ¿Í ´ë±â¿À¿° ¹°Áú µ¥ÀÌÅ͸¦ È°¿ëÇϸç, ÃÖÀûÀÇ hyper parameter¸¦ Àû¿ëÇÏ¿© ¹Ì¼¼¸ÕÁö ³óµµ ¿¹ÃøÀ» ¼öÇàÇÑ´Ù. ¶ÇÇÑ ¿¹Ãø ¸ðµ¨ÀÇ ¼º´É Æò°¡¸¦ À§ÇØ AQI ±â¹ÝÀÇ ¿¹Ãø Á¤È®µµ Æò°¡¸¦ ÁøÇàÇÑ´Ù. |
¿µ¹®³»¿ë (English Abstract) |
Recently, there are many researches on particulate matter concentration prediction using neural network algorithm for accurate particulate matter prediction service. In this paper, design the particulate matter concentration prediction model using GRU algorithm among the recurrent neural network algorithms for the prediction of particulate matter concentration with time series characteristics. It uses the weather data and air pollutant data and predicts the particulate matter concentration by applying the optimal hyper parameter. In addition, AQI based prediction accuracy is evaluated to evaluate the performance of the prediction model. |
Å°¿öµå(Keyword) |
Particulate matter
Deep learning
Recurrent neural networks
GRU
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ÆÄÀÏ÷ºÎ |
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