Reconstruction of Missing Hourly Precipitation Data to Increase Training Data Set for ANN

Publisher: IGI Global_journal

E-ISSN: 1947-3206|9|1|62-84

ISSN: 1947-3192

Source: International Journal of Agricultural and Environmental Information Systems (IJAEIS), Vol.9, Iss.1, 2018-01, pp. : 62-84

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

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Abstract