Results 21 to 30 of about 5,519 (170)
This study investigates and compares various multivariate regression methods, including principal component regression (PCR) and partial least squares regression (PLSR), for flight load analysis and demonstrates their high learning efficiency and strong ...
Qi Yan, Chao Yang, Zhiqiang Wan
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Salt stress has become a major problem in the tomato planting process, of which peroxidase (POD) activity is an important parameter reflecting the antioxidant capacity of plants.
Longguo Wu +5 more
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Comparison of Some Robust Methods to Estimate Parameters of Partial Least Squares Regression (PLSR)
The technology of reducing dimensions and choosing variables are very important topics in statistical analysis to multivariate. When two or more of the predictor variables are linked in the complete or incomplete regression relationships, a problem of multicollinearity are occurred which consist of the breach of one basic assumptions of the ordinary ...
Saja Mohammad Hussein +1 more
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Rapid and accurate detection of protein toxins is crucial for public health. The Raman spectra of several protein toxins, such as abrin, ricin, staphylococcal enterotoxin B (SEB), and bungarotoxin (BGT), have been studied.
Pengjie Zhang +7 more
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Online NIR Analysis and Prediction Model for Synthesis Process of Ethyl 2-Chloropropionate
Online near-infrared spectroscopy was used as a process analysis technique in the synthesis of 2-chloropropionate for the first time. Then, the partial least squares regression (PLSR) quantitative model of the product solution concentration was ...
Wei Zhang +5 more
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Modeling and Comparison for Auto-association using Support Vector Regression (SVR) and Partial Least Square Regression (PLSR) in Online Monitoring Techniques [PDF]
An online monitoring based upon sensor system is essential to assure both efficient operation and safety in the power plant. Of great importance is modeling for auto-association (AA) in online monitoring technique. The objective of auto-associative models lies in predicting true values of plant operation parameters from sensor signals transmitted. This
Seong-Jun Kim, In-Yong Seo
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Estimation of soil organic carbon content by Vis-NIR spectroscopy combining feature selection algorithm and local regression method [PDF]
Soil organic carbon (SOC) content is a critical parameter for evaluating soil health. However, high redundancy and invalid information in soil hyperspectral data can reduce the accuracy and stability of SOC prediction models.
Baoyang Liu +3 more
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A multicomponent ultraviolet (UV) spectrophotometric method was developed and validated for simultaneous determination of delapril (DEL) and indapamide (IND) in tablets employing the partial least squares regression (PLSR) approach.
Vitor Todeschini +4 more
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Accurate runoff simulation plays a very important role in the planning and management of water resources.However,traditional methods have some limitations in the simulation of runoff near peaks and abrupt points.This paper identifies the abrupt change ...
LIU Yiwen +3 more
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Feature Selection Using iPLS Combined with iNSGA-III for Near-Infrared Spectroscopic Determination of the Acidity of Huangshui, a By-product of Chinese Baijiu Production [PDF]
To address the inefficiency and complexity of traditional chemical methods for measuring the acidity of Huangshui (HS), this study proposed a rapid and non-destructive detection approach using near-infrared (NIR) spectroscopy combined with partial least ...
ZHANG Guiyu, XIANG Xingrui, ZHANG Lei, WANG Yibo, YAN Jun, ZHANG Yunlong
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