Quantitative structure-property relationship (QSPR) models for predicting the physicochemical properties of polychlorinated biphenyls (PCBs) using deep belief network | ||
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Usman Safder, KiJeon Nam, Dongwoo Kim, Mohsen Shahlaei, ChangKyoo Yoo*, Quantitative structure-property relationship (QSPR) models for predicting the physicochemical properties of polychlorinated biphenyls (PCBs) using deep belief network, Ecotoxicology and Environmental Safety (ISSN: 0147-6513, SCI, Top20%:TOP20% TOXICOLOGY), Elsevier, 162(), pp. 17-28; DOI(http://dx.doi.org/10.1016/j.ecoenv.2018.06.061) (2018.07) (Ack:2017R1E1A1A03070713) |
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이전글 | An optimal renewable energy management strategy with and without hydropower using a factor weighted multi-criteria decision making analysis and nation-wide big data - Case study in Iran | |
다음글 | Modeling of Subway Indoor Air Quality Using Gaussian Process Regression |