Results 1 to 10 of about 760,775 (144)

Least-Square-Method-Based Optimal Laser Spots Acquisition and Position in Cooperative Target Measurement [PDF]

open access: yesSensors, 2022
The relative positioning precisions of coordinate points is an important indicator that affects the final accuracy in the visual measurement system of space cooperative targets.
Kai Li   +5 more
doaj   +2 more sources

Solution for Second-Order Differential Equation Using Least Square Method

open access: yesEurasian Journal of Science and Engineering, 2022
This paper studies the numerical method for solving differential equations. The continuous least square method (CLSM) is used to obtain the explicit solution for solving ordinary differential equations (ODEs), partial differential equations (PDEs), and ...
Salisu Ibrahim, Abdulnasir Isah
doaj   +1 more source

Fault identification for chiller sensor based on partial least square method [PDF]

open access: yesE3S Web of Conferences, 2021
Sensor failures can lead to an imbalance in heating, ventilation and air conditioning (HVAC) control systems and increase energy consumption. The partial least squares algorithm is a multivariate statistical method, compared with the principal component ...
Wu Bang   +4 more
doaj   +1 more source

Identification effect of least square fitting method in archives management

open access: yesHeliyon, 2023
Archives management plays an important role in the current information age. Solving the problem of identifying and classifying archives is essential for promoting the development of archives management.
Caichang Ding   +5 more
doaj   +1 more source

Total least squares methods [PDF]

open access: yesWIREs Computational Statistics, 2010
Recent advances in total least squares approaches for solving various errors-in-variables modeling problems are reviewed, with emphasis on the following generalizations:1.the use of weighted norms as a measure of the data perturbation size, capturing prior knowledge about uncertainty in the data;2.the addition of constraints on the perturbation to ...
Markovsky, Ivan   +2 more
openaire   +3 more sources

An Improved Self-Born Weighted Least Square Method for Cylindricity Error Evaluation

open access: yesApplied Sciences, 2022
In order to improve the stability of the evaluation results and the gross error resistance of the algorithm in view of the widespread gross errors in geometric error evaluation, an improved self-born weighted least square method (ISWLS) is proposed in ...
Yunhan Yao, Ke Zhang
doaj   +1 more source

Least Square Homotopy Perturbation Method for Ordinary Differential Equations

open access: yesJournal of Mathematics, 2021
In this study, a new modification of the homotopy perturbation method (HPM) is introduced for various order boundary value problems (BVPs). In this modification, HPM is hybrid with least square optimizer and named as the least square homotopy ...
Mubashir Qayyum, Imbsat Oscar
doaj   +1 more source

Broadband Beamforming Using the Least Square Method Improved via Adaptive Diagonal Loading [PDF]

open access: yesJournal of Electromagnetic Engineering and Science, 2023
The least square method (LSM) is a commonly used beamforming method. However, it limits the beamforming frequency bandwidth and is vulnerable to noise; therefore, diagonal loading is used to overcome these limitations.
Euiho Shin   +4 more
doaj   +1 more source

Forecasting of Wind Speed Using an Interval-Based Least Square Method

open access: yesFrontiers in Energy Research, 2022
A new least square method (LSM) for time series analysis under indeterminacy is proposed in this work. The proposed LSM under indeterminacy is known as the neutrosophic least square method (NLSM). The NLSM is proposed to forecast wind speed when data are
Muhammad Aslam, Mohammed Albassam
doaj   +1 more source

Partial Least Squares Regression Methods with Application of Mas Cement Factory in Sulaymaniyah Governorate

open access: yesگۆڤارا زانستێن مرۆڤایەتی یا زانكۆیا زاخۆ, 2022
This paper was dealing with variables for MAS Cement Factory where evince many problems , more than one variable dependent and presence the problem of multicollinearity and so presence the correlation between the predictive variables and the dependent ...
Sherin mohyaldeen, Mohammed Alhassawy
doaj   +1 more source

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