灰色预测模型初始条件求解的优化解法The optimization method for solving gray prediction model initial condition
周一帆,鲁铁定,王奉伟,吴定邦
摘要(Abstract)：
针对GM(1,1)模型初始条件的选择最优化问题,提出一种新的最优初始条件求解算法,即把对最优初始条件选择问题转化为求最优的C值,通过两个算例分析表明,文中的算法与文献[4]的FGM(1,1)模型相比,在达到同等精度的条件下,运行效率更高,算法更简单直观,更有利于程序实现,验证了文中提出的算法的有效性和可行性。
关键词(KeyWords)： 灰色理论;GM(1,1)模型;FGM(1,1)模型;最优C值
基金项目(Foundation): 国家自然科学基金项目(41204003,41374007,41464001);; 江西省科技落地计划项目(KJLD12077);; 江西省教育厅科技项目(GJJ13457);; 中国博士后基金项目(2012M511962);; 江西省中青年教师发展计划访问学者专项(2012-132);; 江西省远航工程计划项目(2013-132)
作者(Author): 周一帆,鲁铁定,王奉伟,吴定邦
DOI: 10.16251/j.cnki.1009-2307.2017.09.002
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