Results 181 to 190 of about 12,139 (206)

On the difference between low-rank and subspace approximation: improved model for multi-linear PLS regression

Chemometrics and Intelligent Laboratory Systems, 2001
Abstract While both Tucker3 and PARAFAC models can be viewed as latent variable models extending principal component analysis (PCA) to multi-way data, most fundamental properties of PCA do not extend to both models. This has practical importance, which will be explained in this paper.
Bro, R., Smilde, A.K., de Jong, S.
openaire   +4 more sources

Research on the Factors Affecting House Price using Multilinear Linear Regression Model.

Science and Technology of Engineering, Chemistry and Environmental Protection
This article aims to identify the factors that affect the change in house prices. In this paper, the Multiple Linear Regression Model is used to analyze the factors with 1000 random samples from the USA which was collected from the 2nd of May in 2014 to the 10th of July in 2014.
openaire   +1 more source

Development model of small orifice flow using simple linear and multilinear regression

Materials Research Proceedings
Abstract. The concept of "small orifice flow" describes the movement of a fluid through a tiny hole or orifice. This is a typical occurrence in engineering and fluid mechanics. In machine learning, linear regression is a fundamental and extensively used technique for modelling the connection.
openaire   +1 more source

Two-dimensional Monte Carlo simulation coupled with multilinear regression modeling of source-specific health risks from groundwater

Journal of Hazardous Materials
Effective protection of groundwater requires an accurate health risk assessment of contaminants; however, the diversity of pollution sources, variability, and uncertainties in exposure parameters present significant challenges in this assessment. In this study, groundwater risk estimates associated with NO3-, and F-, along with fourteen heavy metal ...
Vesković, Jelena, Onjia, Antonije
openaire   +3 more sources

Evaluating Degree‐Based Topological Indices in QSPR Modeling of Anticancer Drugs Using Linear and Multilinear Regression

International Journal of Quantum Chemistry
ABSTRACT Cancer arises from the rapid growth of aberrant cells within the body. A range of treatment options are available, including surgery, radiation, hormone therapy, and more, for managing this perilous condition.
Bharathi Shettahalli Nagaraje Urs, Srikumar Krishnamurthy, Anand Solomon Kamalakaran, Deepika Togarichetu   +3 more
openaire   +1 more source

Application of metaheuristic based artificial neural network and multilinear regression for the prediction of higher heating values of fuels

International Journal of Coal Preparation and Utilization, 2022
Adeyemi Emman Aladejare, Moshood Onifade, Abiodun Ismail Lawal   +2 more
exaly  

Prediction of Cell Migration in MDA-MB 231 and MCF-7 Human Breast Cancer Cells Treated with Albizia Lebbeck Methanolic Extract Using Multilinear Regression and Artificial Intelligence-Based Models

Pharmaceuticals, 2023
Huzaifa Umar, Nahit Rizaner, A G Usman
exaly  

Sintering optimisation of manganese ore fines: a mixed multilinear regression and linear programming model

1998
Due to the randomness of all factors influencing the sintering operation, a two-stepped procedure is proposed to find the best way of using stocked fines at a plant producing Fe-Mn alloys for the steelmaking industry The approach is based on the following. (1) predict the result of the sintering operation by establishing the best multilinear regression
openaire   +1 more source

Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013
Qibin Zhao, Cesar F Caiafa, Yasuo Nagasaka   +2 more
exaly  

Prediction of Sweetness by Multilinear Regression Analysis and Support Vector Machine

Journal of Food Science, 2013
Aixia Yan, Qipeng Yuan
exaly