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Comparative Analysis of PM10 Prediction Performance between Neural Network Models
저자
정용진, 오창헌
학술지명
Journal of Information and Communication Convergence Engineering
출판/발행연도
2021
주제
요약
본 연구는 미세먼지 예측을 위해 활발히 연구되는 신경망 모델들의 예측 성능을 비교 분석하였다. 딥 뉴럴 네트워크(DNN), 순환 신경망, 장단기 기억(LSTM) 모델을 사용하여 최적의 예측 모델을 설계하고 RMSE 및 정확도를 평가 지표로 사용하여 성능을 비교한 결과, DNN 모델이 다른 알고리즘보다 낮은 RMSE를 보였다. 순환 신경망은 정확도가 높았지만 안정성은 약간 낮았다.
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