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搜索资源 - Partial Least Squares
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偏最小二乘回归的源代码,可直接调用,注释较详细,初学者一看懂-Partial least squares regression of the source code can be called directly, more detailed comments, beginners to understand
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PLS的修改算法,可以用于线性静态过程的故障诊断-partial least squares for fault diagnosis of static process
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matlab进行偏最小二乘的四种分组方法-Four grouping method of partial least squares matlab
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偏最小二乘(PLSR)
分别求出样品集光谱矩阵和样品组分矩阵的主成分矩阵,将这两个矩阵相关联,求其线性关系,用所建立的线性函数来预测未知样品。
-Partial least squares (PLSR)
The principal component matrix samples were calculated in the spectral matrix and sample matrix, the two matrix associated with the linear
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单因变量偏最小二乘回归matlab程序
程序尚不完善,固定提取了3个主成分,没有做寻求最佳主成分个数;没有做交叉有效性检验
-Single dependent variable and partial least squares regression matlab
The program is not perfect, the fixed extract 3 principal components, do not seek the best number of principa
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它主要研究的是多因变量对多自变量的回归建模,特别当各变量内部高度线性相关时,用偏最小二乘回归法更有效。另外,偏最小二乘回归较好地解决了样本个数少于变量个数等问题。
偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。它与主成分分析法都试图提取出反映数据变异的最大信息,但主成分分析法只考虑一个自变量矩阵,而偏最小二乘法还有一个“响应”矩阵,因此具有预测功能。-It is mainly a result of the study is a multi-variab
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偏最小二乘法,它通过最小化误差的平方和找到一组数据的最佳函数匹配。 用最简的方法求得一些绝对不可知的真值,而令误差平方之和为最小。 很多其他的优化问题也可通过最小化能量或最大化熵用最小二乘形式表达。-Partial least squares method, which by minimizing the square error and one set of data to find the best matching function. The simplest method to obta
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GA-PLS遗传偏最小二乘法 用于数据挖掘或者是光谱特征变量筛选-GA-PLS Genetic Partial Least Squares
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偏最小二乘法(PLS)建模方法是集多元回归、典型相关分析及主成分分析的功能于一体的方法-Partial Least Squares
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区间偏最小二乘法(iPLS)筛选的特征光谱区域通过摒弃不相关的变量-Interval Partial Least Squares
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非常好的偏最小二乘分析的程序,包含了典型相关分析、主成分分析和多元线性回归。可以根据具体的需要更改代码变成非线性回归,建立多个自变量和多个因变量之间的关系应用很广。包含计算程序和画图表示结果的程序两个m文件-Very good partial least squares analysis of programs, including the canonical correlation analysis, principal component analysis and multiple line
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partial least squares (PLS) for fault detection and classification
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高光谱图像处理程序示例,对苹果进行光谱检测,然后运用偏最小二乘法进行建模,预测苹果甜度。开发环境为matlab。-Hyperspectral image processing program example, Apple spectral detection, and then using partial least squares modeling, forecasting apple sweetness. Development environment for matlab.
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偏最小二乘法是一种新型的多元统计数据分析方法,它于1983年由伍德(S.Wold)和阿巴诺(C.Albano)等人首次提出。近几十年来,它在理论、方法和应用方面都得到了迅速的发展。-Partial least squares method is a novel multivariate statistical data analysis method, which was first proposed in 1983 by the Wood (S.Wold) and Abano (C.Alban
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偏最小二乘(PLS),在保留输入变量的最大信息条件小,现在输入和输出组中建立模型,再用非线性迭代法提取类间特征-Partial Least Squares (PLS), in the small reservation conditions for maximum information input variables, input and output modeling group now and then between nonlinear iterative feature extract
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这是关于偏最小二乘法的,包括说明介绍及源程序以及结果分析-The introduction of partial least squares and the source program and the analysis of the results
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Recursive weighted Partial least Squares for variable selection
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偏最小二乘回归是对样本数据进行“软建模”的一种稳健统计分析方法,其用途相当广泛。-Partial least squares regression is carried out on the sample data modeling soft a robust statistics analysis method, its usage is quite extensive.
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偏最小二乘回归方法主要的研究焦点是多因变量对多自变量的回归建模,它与普通多元回归方法在思路上的主要区别是它在回归建模过程中采用了信息综合与筛选技术。-Partial least-squares regression method is the main research focus is more dependent variable regression modeling of multiple variables, it has to do with the primary differen
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偏最小二乘法工具包,美国著名的eigenvector公司出品。版本3.0.免安装。-Partial Least Squares kit, the famous American company produced the eigenvector. Version 3.0. Free installation.
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