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GM (1, 1) is a biased grey exponential model, whose accuracy depends on the structure of background values and the selection of original conditions. Current literatures optimized GM (1, 1) models just by optimizing background values or original conditions separately, or by combining them jointly. However, these methods all ignored the accumulative errors(More)
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