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NTIS 바로가기응용통계연구 = The Korean journal of applied statistics, v.33 no.5, 2020년, pp.603 - 614
이현재 (성균관대학교 통계학과) , 손동희 (성균관대학교 통계학과) , 김수진 (성균관대학교 통계학과) , 오세인 (성균관대학교 스포츠과학과) , 김재직 (성균관대학교 통계학과)
This study focuses on the prediction and factors of apartment prices in Seoul using a convolutional neural networks (CNN) model that has shown excellent performance as a predictive model of image data. To do this, we consider natural environmental factors, infrastructure factors, and social economic...
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