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대기 중 오존농도 예측을 위한 추계학적 모형의 개발 : ARIMA, 전이함수, 인공신경망 모형을 중심으로 : Development of the stochastic models to forecast atmospheric ozone concentration using ARIMA, transfer function and artificial neural networks

DC Field Value Language
dc.contributor.advisor이홍근-
dc.contributor.author정효준-
dc.date.accessioned2010-01-04T04:04:47Z-
dc.date.available2010-01-04T04:04:47Z-
dc.date.copyright2005.-
dc.date.issued2005-
dc.identifier.urihttp://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000052470kor
dc.identifier.urihttps://hdl.handle.net/10371/24816-
dc.description학위논문(박사)--서울대학교 보건대학원 :보건학과 환경보건학전공,2005.ko
dc.format.extentxiv, 136 장ko
dc.language.isokoko
dc.publisher서울대학교 보건대학원ko
dc.subjectARIMAko
dc.subjectARIMAko
dc.subject전이함수ko
dc.subjectartificial neural networksko
dc.subject인공신경망ko
dc.subjectdata assimilationko
dc.subject칼만필터링ko
dc.subjectKalman filteringko
dc.subject자료동화ko
dc.subjectozoneko
dc.subject오존농도 예측ko
dc.subjecttransfer functionko
dc.title대기 중 오존농도 예측을 위한 추계학적 모형의 개발 : ARIMA, 전이함수, 인공신경망 모형을 중심으로ko
dc.title.alternativeDevelopment of the stochastic models to forecast atmospheric ozone concentration using ARIMA, transfer function and artificial neural networksko
dc.typeThesis-
dc.contributor.department보건학과 환경보건학전공-
dc.description.degreeDoctorko
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