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grey fitting
相关语句
  灰拟合
     An optimization method for reasoning results is presented,such as recursive grey fitting model for single sequence and attribute correlativity model for multi-dimension data.
     分别在单序列时建立递进灰拟合模型,在多维数据集时利用属性相关性,对插值结果进行学习优化.
短句来源
  “grey fitting”译为未确定词的双语例句
     THE GREY FITTING METHOD OF DISCRETE EXPONENTIAL CURVE
     离散型指数曲线灰色拟合
短句来源
     In this paper, it quotes those theorems concerned of grey control theory which Mr Deng Julong has founded, according to method of least squares to calculate the parameter of logistic curve, dealt with by grey fitting and compared it with weighted fitting.
     本文应用灰色理论中灰导数拓扑空间的定理和非线性灰色建模的方法,直接按最小二乘法求解logistic曲线的参数,对曲线进行灰色法拟合,并与加权拟合法进行了对比。
短句来源
     Because of its simple calculation, no strict demand on sample content and probit distribution, as well as its higher precision, grey fitting method is proved to be a deserving widely used new method to fit logistic curve.
     因应用灰色理论拟合计算简单,对样本容量及概率分布没有严格的要求,且拟合精度较高,用来拟合logistic曲线不失为一种值得推广应用的新方法。
短句来源
     It was suggested that the grey fitting method could be applied to grey-logistic model of girls' menarche.
     因灰色建模法计算简单,对样本容量及概率分布没有严格的要求,在月经初潮年龄调查研究中,作为一项新的拟合方法,无疑具有一定的实际意义。
短句来源
  相似匹配句对
     Grey Method for Fitting S-N Curve
     S-N曲线拟合的灰色方法
短句来源
     The Application of Grey Theory to Logistic Curve Fitting
     灰色理论在logistic曲线拟合中的应用
短句来源
     Arc Fitting
     圆弧拟合
短句来源
     On the Rule of Fitting
     论拟合法则
短句来源
     grey resampling;
     影象灰度的重采样;
短句来源
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In this paper, it quotes those theorems concerned of grey control theory which Mr Deng Julong has founded, according to method of least squares to calculate the parameter of logistic curve, dealt with by grey fitting and compared it with weighted fitting. Through F test,the result shows that the difference between two kinds of fitting methods is non-statistical significance.Because of its simple calculation, no strict demand on sample content and probit distribution, as well as its higher precision,...

In this paper, it quotes those theorems concerned of grey control theory which Mr Deng Julong has founded, according to method of least squares to calculate the parameter of logistic curve, dealt with by grey fitting and compared it with weighted fitting. Through F test,the result shows that the difference between two kinds of fitting methods is non-statistical significance.Because of its simple calculation, no strict demand on sample content and probit distribution, as well as its higher precision, grey fitting method is proved to be a deserving widely used new method to fit logistic curve.

本文应用灰色理论中灰导数拓扑空间的定理和非线性灰色建模的方法,直接按最小二乘法求解logistic曲线的参数,对曲线进行灰色法拟合,并与加权拟合法进行了对比。结果两种拟合方法的差异经F检验,无统计学意义。因应用灰色理论拟合计算简单,对样本容量及概率分布没有严格的要求,且拟合精度较高,用来拟合logistic曲线不失为一种值得推广应用的新方法。

In this paper,the grey-logistic model of girls' menarche was set up,accordinig to the theorems concerned grey control theory founded by Den Julong,and it was compared with the model basing on weighted fitting. The result showed that there was non-statistical difference between two kinds of fitting methods. It was suggested that the grey fitting method could be applied to grey-logistic model of girls' menarche.

本文应用灰色控制系统理论中灰导数拓扑空间的定理和非线性灰色建模的方法,按最小二乘法求解Logistic曲线的参数,成功地建立了女生月经初潮的灰色Logistic模型,并与加权拟合法进行了对比,结果两种拟合方法的差异经F检验,无统计学意义。因灰色建模法计算简单,对样本容量及概率分布没有严格的要求,在月经初潮年龄调查研究中,作为一项新的拟合方法,无疑具有一定的实际意义。

Combining grey system theory with the feature of series data,a grey interpolation approach based on forward and back grey prediction model is proposed.This approach deduces the missing value which makes the best of all information in time zone of missing point.An optimization method for reasoning results is presented,such as recursive grey fitting model for single sequence and attribute correlativity model for multi-dimension data.Compared with common interpolation approach,experimental results show smoothness...

Combining grey system theory with the feature of series data,a grey interpolation approach based on forward and back grey prediction model is proposed.This approach deduces the missing value which makes the best of all information in time zone of missing point.An optimization method for reasoning results is presented,such as recursive grey fitting model for single sequence and attribute correlativity model for multi-dimension data.Compared with common interpolation approach,experimental results show smoothness and effectiveness of the proposed method.

根据灰色系统理论和序列数据的特性,提出一种灰插值方法.建立前向灰预测和后向灰预测模型,充分利用缺失值时区窗口内的全部信息对其进行推理.分别在单序列时建立递进灰拟合模型,在多维数据集时利用属性相关性,对插值结果进行学习优化.通过与常用插值方法的比较实验表明,该方法具有较好的光滑性和预测效果.

 
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