处理连续与类别变数之遗漏值,更新增多重插补法,协 助您正确地插补资料,以获得更可靠的分析结果。 - 偏最小平方回归(Partial Least Square Regression, PLSR) 处理资料中有相关 性的预测变数、小样本、遗失值,能反映或构成潜在变数,更拥有强大的预测能 力。 -
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...关键词: 拉曼光谱 偏最小二乘法 馏程 芳烃物料[gap=1535]Key words: Raman spectroscopy; partial least square regression(PLS) ; distillation range; aromatic materials..
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该文将偏最小二乘回归模型(Partial Least Square Regression,PLS)应用于年用电量预测,并与基于最小二乘的多元线性回归模型预测成果进行对比,探讨了偏最小二乘法在电力负荷...
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partial least-square regression method 偏最小二乘
kernel partial least square regression 核偏最小二乘回归
adapting partial least square regression 自适应偏最小二乘法
The Principal Component Regression (PCR) and Partial Least Square Regression (PLSR) methods are applied to determine the weight of the RBF networks with certain good results.
将主成分回归(PCR)和偏最小二乘回归(PLSR)的方法引入RBF网络中,提出了分别采用这两种方法确定网络权重的算法。
参考来源 - RBF神经元网络的研究及其在复杂化学信息处理中的应用·2,447,543篇论文数据,部分数据来源于NoteExpress
The present paper presents a new NIR multi-component analysis method with Artificial Neural Network (ANN) and Partial Least Square Regression (PLS).
提出了一种神经网络(ANN)和偏最小二乘法(PLS)结合的新的近红外(N IR)多组分分析法。
Then the basic concepts of principal component analysis and partial least square regression are studied, as well as their advantages and disadvantages.
引入了主成分分析与偏最小二乘回归等多元统计与回归方法,并分析了其基本思想与优缺点。
A novel adapting partial least square regression (APLS r) approach was proposed to develop the naphtha dry point soft sensor of the primary distillation tower.
提出了一种具有强非线性表达能力的自适应偏最小二乘回归(APLSR)方法,并应用于初顶石脑油干点软测量模型建立。
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