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小白杏杏核开口压力的线性回归建模及验证
引用本文:樊丁宇,廖康,张大海,买买提江·依米提,傅力,唐芳. 小白杏杏核开口压力的线性回归建模及验证[J]. 新疆农业科学, 2010, 47(3): 466-471
作者姓名:樊丁宇  廖康  张大海  买买提江·依米提  傅力  唐芳
作者单位:新疆农业大学林学与园艺学院,乌鲁木齐,830052;新疆农业科学院轮台果树资源圃,新疆轮台,841600;农业部国家重点野外科学观测轮台站,新疆轮台,841600;新疆农业科学院园艺作物研究所,乌鲁木齐,830091;新疆大学化学化工学院,乌鲁木齐,830046
基金项目:国家科技支撑项目"环塔里木盆地特色林果产业发展关键技术研发与示范"子课题"杏专用品种优选及高效栽培技术研发与示范",新疆科技成果转化基地项目"南疆优质杏科技成果转化示范基地",新疆科技厅开放课题"新疆杏产业发展关键技术集成与示范" 
摘    要:[目的]建立关于小白杏杏核开口压力合理、有效的线性回归模型,确定开口的应力范围,为杏核开口的自动化机械加工提供优化参数、方法和途径.[方法]应用万能材料测试仪测定小白杏开口应力,利用SPSS软件的多元线性回归分析方法,建立初步的线性回归模型并验证分析模型的输出结果.通过计算参考值范围并进行基本参数估计,确定开口的应力范围.[结果]初步回归方程为Y=412.917-9.185 X1+25.486 X2+17.591 X3+9.211 X4.经计算,开口压力预测值的双侧95;界限为397.106 1~511.013 9,平均数95;的置信区间为440.460 4~467.659 6.这与实测值的双侧95;界限:394.370 6~513.749 4,平均数95;的置信区间:439.807 2~468.312 8基本一致.[结论]理论上可以通过应用建立线性回归模型的方法为自动化机械加工提供优化参数,实现杏核开口的自动化机械加工,并且可以为其它品种的杏核开口应用自动化机械加工提供解决方法和途径.

关 键 词:小白杏杏核  开口  机械加工  线性回归  建模
收稿时间:2010-03-25

Modeling and Functional Identification on the Open Pressure of Xiaobaixing Stone by Linear Regression Analysis
FAN Ding-yu,LIAO Kang,ZHANG Da-hai,Maimaitijiang·Yimiti,FU Li,TANG Fang. Modeling and Functional Identification on the Open Pressure of Xiaobaixing Stone by Linear Regression Analysis[J]. Xinjiang Agricultural Sciences, 2010, 47(3): 466-471
Authors:FAN Ding-yu  LIAO Kang  ZHANG Da-hai  Maimaitijiang·Yimiti  FU Li  TANG Fang
Abstract:【Objective】 To provide optimal parameter and methods for the machining of Xiaobaixing stone,the study was conducted to establish linear regression model and obtain parameter range about the open pressure of Xiaobaixing stone.【Method】The open pressure is mensurated by multifunctional material testing instrument.A Primary linear regression equation was established with stone shell thickness,stone lengthwise diameter,stone transverse diameter,stone lateral diameter,as independent variable,open pressure as dependent variable,analysing and validating the output results of mathematical model by SPSS.In addition,it confirms parameter range of open pressure by calculating reference range and estimating basic parameter.【Result】The results showed that the primary linear regression equation is Y=412.917-9.185 X1+25.486 X2+17.591 X3+9.211 X4.95% double-sided bound for predicted value is 397.1061~511.013 9,and 95% confidence interval for its average is 440.460 4~467.659 6.It is basically consistent with the result of measured value,95% double-sided bound for measured value is 394.370 6~513.749 4,and 95% confidence interval for its average is 439.807 2~468.312 8.【Conclusion】In terms of theory,this mathematical model provided optimal parameter for the machining open of Xiaobaixing stone,farther provide effective method for machining open of other apricot varieties stone.
Keywords:Xiaobaixing stone  open  machining  linear regression  modeling
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