2019³â Ãß°èÇмú´ëȸ
Current Result Document : 21 / 21
ÇѱÛÁ¦¸ñ(Korean Title) |
¹Ì¼¼¸ÕÁö ¿¹Ãø Á¤È®µµ Çâ»óÀ» À§ÇÑ ´ÙÃþ ÆÛ¼ÁÆ®·Ð ±â¹Ý ³óµµº° ºÐ¸® ¿¹Ãø ¸ðµ¨ |
¿µ¹®Á¦¸ñ(English Title) |
Separation Prediction Model by Concentration based on Multi-Layer Perceptron for Improving Particulate Matters Accuracy |
ÀúÀÚ(Author) |
Á¶°æ¿ì
Á¤¿ëÁø
ÀÌÁ¾¼º
¿ÀâÇå
Kyoung-woo Cho
Yong-jin Jung
Jong-sung Lee
Chang-heon Oh
|
¿ø¹®¼ö·Ïó(Citation) |
VOL 23 NO. 02 PP. 0658 ~ 0660 (2019. 10) |
Çѱ۳»¿ë (Korean Abstract) |
¹Ì¼¼¸ÕÁö ³óµµ¿Í È£Èí±â°è°ü·Ã ÁúȯÀÇ ¿µÇâÀÌ ¹àÇôÁö¸ç ¹Ì¼¼¸ÕÁö¿¡ ´ëÇÑ °ü½ÉÀÌ ³ô¾ÆÁö°í ÀÖ´Ù. ÀÌ·Î ÀÎÇØ ¹Ì¼¼¸ÕÁö ¿¹º¸ÀÇ Á߿伺ÀÌ ³ô¾ÆÁö°í ÀÖÀ¸³ª, ºÒ±ÔÄ¢ÀûÀ¸·Î ¹ß»ýµÇ´Â °í³óµµ ¹Ì¼¼¸ÕÁö·Î ÀÎÇØ ¸ðµ¨ Àüü ¿¹Ãø ¼º´ÉÀÌ ¶³¾îÁö´Â ¹®Á¦°¡ ÀÖ´Ù. º» ³í¹®¿¡¼´Â ¹Ì¼¼¸ÕÁö ¿¹Ãø Á¤È®µµ Çâ»óÀ» À§ÇØ ³óµµ º° ºÐ¸® ¿¹Ãø ¸ðµ¨À» Á¦¾ÈÇÑ´Ù. À̸¦ À§ÇØ ±â»ó ÀÎÀÚ ¹× ´ë±â¿À¿° ÀÎÀÚ¸¦ È°¿ëÇÏ¿© Àú, °í³óµµº° ¿¹Ãø ¸ðµ¨À» ¼³°èÇÏ°í ¿¹Ãø ³óµµ°ª ¹× 4´Ü°èÀÇ ¹Ì¼¼¸ÕÁö AQI ¿¹Ãø Á¤È®µµ¸¦ ºñ±³ÇÑ´Ù. |
¿µ¹®³»¿ë (English Abstract) |
The effects of particulate matter concentrations and respiratory disorders have been revealed, and interest in particulate matter is increasing. As a result, the importance of the particulate matter forecast is increasing, but there is a problem in that the overall prediction performance of the model is reduced due to the irregularly occurring high concentration of the particulate matter. In this paper, we propose a separation prediction model by concentration to improve the accuracy of particulate matter. To this end, we design low, high concentration predictive models using weather factors and air pollution factors, and compare the predicted concentration values and the four-step particulate matter AQI prediction accuracy. |
Å°¿öµå(Keyword) |
Particulate matters
Prediction
Deep learning
Deep neural network
Multi-layer perceptron
|
ÆÄÀÏ÷ºÎ |
PDF ´Ù¿î·Îµå
|