基于MATLAB对春玉米品种的模糊聚类与识别
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摘要
本文基于MATLAB对13个西北春玉米品种进行模糊聚类分析,依据隶属度建立标准模型库模型,然后对新品种进行模糊识别。该方法为春玉米品种优良指标的研究提供了理论依据。
This paper made the fuzzy clustering analysis on 13 spring maize varieties in Northwest China based on MATLAB,and hereby established a standard model base model according to the degree of membership, and then made fuzzy identification for new varieties. This method will provide a theoretical basis for the study of the fine indicators of spring maize varieties.
This paper made the fuzzy clustering analysis on 13 spring maize varieties in Northwest China based on MATLAB,and hereby established a standard model base model according to the degree of membership, and then made fuzzy identification for new varieties. This method will provide a theoretical basis for the study of the fine indicators of spring maize varieties.
引文
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[7]许小艳,史本广,慕运动.模糊概率法在玉米品种综合评价中的应用[J].河南农业大学学报,2011,45(3):280-282,306
[8]孙宇锋.基于MATLAB的模糊聚类分析及应用[J].韶关学院学报:自然科学,2006,27(9):1-4
[2]王彧超.东华北中熟春玉米区新育成品种比较试验[J].安徽农学通报,2018,24(1):20-21,64
[3]肖玮钰,张丽文,刘志雄,等.基于气象灾害指标的春玉米种植区划[C]//第32届中国气象学会年会论文集,2015:1-8
[4]李青松,方华,郭玉伟,等.春播玉米品种熟期类型划分研究[J].河北农业科学,2010,14(9):8-11,25
[5]王晓慧,魏雯雯,曹玉军,等.我国北方高产春玉米品种钾素利用特性研究[J].玉米科学,2014,22(6):59-66
[6]蔡鑫鑫.寒地春玉米锌效率品种间差异及锌对玉米产量品质的影响[D].哈尔滨:黑龙江八一农垦大学,2010
[7]许小艳,史本广,慕运动.模糊概率法在玉米品种综合评价中的应用[J].河南农业大学学报,2011,45(3):280-282,306
[8]孙宇锋.基于MATLAB的模糊聚类分析及应用[J].韶关学院学报:自然科学,2006,27(9):1-4