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du guang xin
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Determination of the optimal training principle and input variables in artificial neural network model for the biweekly chlorophyll-a prediction: a case study of the Yuqiao Reservoir, China.
PLoS One. 2015 Mar 13;10(3):e0119082. doi: 10.1371/journal.pone.0119082. eCollection 2015.
PLoS One. 2015.
PMID: 25768650
Free PMC article.
Effects of the Forecasting Methods, Precipitation Character, and Satellite Resolution on the Predictability of Short-Term Quantitative Precipitation Nowcasting (QPN) from a Geostationary Satellite.
Liu Y, Xi DG, Li ZL, Ji W.
Liu Y, et al. Among authors: xi dg.
PLoS One. 2015 Oct 8;10(10):e0140044. doi: 10.1371/journal.pone.0140044. eCollection 2015.
PLoS One. 2015.
PMID: 26447470
Free PMC article.
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