نتایج جستجو برای: partial least squares pls method

تعداد نتایج: 2140492  

2014
Åsmund Rinnan Martin Andersson Carsten Ridder Søren Balling Engelsen

Variable selection is important in fine tuning partial least squares (PLS) regression models. This study introduces a novel variable weighting method for PLS regression where the univariate response variable y is used to guide the variable weighting in a recursive manner—the method is called recursive weighted PLS or just rPLS. The method iteratively reweights the variables using the regression...

Journal: :journal of the iranian chemical research 0
ali mohammad hajishabani chemistry department, faculty of sciences, yazd university, yazd, iran masoud rohani moghadam chemistry department, faculty of sciences, yazd university, yazd, iran shayesteh dadfarnia chemistry department, faculty of sciences, yazd university, yazd, iran jahanbakhsh ghasemi chemistry department, faculty of sciences, k. n. toosi university of technology, tehran, iran

partial least squares modeling as a powerful multivariate statistical tool was applied tothe simultaneous spectrophotometric determination of silicate and phosphate in aqueoussolutions. the concentration range for silicate and phosphate were 0.02-0.6 and 0.4-3 μg ml-1,respectively. the experimental calibration set was composed with 30 sample solutions using amixture design for two component mix...

2012
Jeremiah Remus Jenniffer Estrada Stephanie Schuckers

Speaker recognition systems have been shown to work well when recordings are collected in conditions with relatively limited mismatch. Thus, a significant focus of the current research is techniques for robust system performance when greater variability is present. This study considers a diverse data set with recordings collected in multiple different rooms with different types of microphones. ...

Journal: :The Analyst 1997
L F Capitán-Vallvey M D Fernández I de Orbe J L Vilchez R Avidad

A method for the simultaneous determination of the colorants Sunset Yellow FCF and Quinoline Yellow using solid-phase spectrophotometry is proposed. The colorants were isolated in Sephadex DEAE A-25 gel at pH 5.0, the gel-colorants system was packed in a 1 mm silica cell and spectra were recorded between 400 and 600 nm against a blank. Statistical results were obtained by partial least squares ...

Journal: :Journal of dairy science 2012
C Colombani P Croiseau S Fritz F Guillaume A Legarra V Ducrocq C Robert-Granié

Genomic selection involves computing a prediction equation from the estimated effects of a large number of DNA markers based on a limited number of genotyped animals with phenotypes. The number of observations is much smaller than the number of independent variables, and the challenge is to find methods that perform well in this context. Partial least squares regression (PLS) and sparse PLS wer...

Journal: :Industrial Management and Data Systems 2016
Jörg Henseler Geoffrey S. Hubona Pauline Ash Ray

Purpose – Partial least squares (PLS) path modeling is a variance-based structural equation modeling (SEM) technique that is widely applied in business and social sciences. Its ability to model composites and factors makes it a formidable statistical tool for new technology research. Recent reviews, discussions, and developments have led to substantial changes in the understanding and use of PL...

Journal: :Journal of Machine Learning Research 2001
Roman Rosipal Leonard J. Trejo

A family of regularized least squares regression models in a Reproducing Kernel Hilbert Space is extended by the kernel partial least squares (PLS) regression model. Similar to principal components regression (PCR), PLS is a method based on the projection of input (explanatory) variables to the latent variables (components). However, in contrast to PCR, PLS creates the components by modeling th...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شهید بهشتی - دانشکده علوم 1377

کالیبراسیون چند متغیره یادگیری چگونگی ترکیب داده ه از چندین کانال مختلف است ، تا بر مسائل انتخاب گری فایق آمده و دیدگاهی جدید بدست آید، همچنین توانایی کنترل و حذف مقادیر خارج از محدوده را بدست آوریم. یکی از مثالهایی از کاربرد کالیبراسیون چند متغیره در اینجا معرفی شده است . در این کار با استفاده از رگرسیون حداقل مربعات جزئی (plsr),(partial least squares regression) به اندازه گیری همزمان اسپکتروف...

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