Results 41 to 50 of about 10,133,028 (343)
Local Moving Least Square - One-Dimensional IRBFN Technique: Part I - Natural Convection Flows in Concentric and Eccentric Annuli [PDF]
In this paper, natural convection flows in concentric and eccentric annuli are studied using a new numerical method, namely local moving least square - one dimensional integrated radial basis function networks (LMLS-1D-IRBFN).
Ngo-Cong, D. +7 more
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PARTIAL LEAST SQUARE PADA PENGUKURAN USABILITAS APLIKASI SIMKOPSYAH
Pembuatan suatu aplikasi harus dilakukan dengan memperhatikan faktor kemudahan penggunaan (usability). Usability aplikasi penting untuk diperhatikan agar pengguna yang mengimplementasikan aplikasi tersebut merasa mudah untuk ...
Lutfiyah Dwi Setia
doaj +1 more source
Least Squares for Practitioners [PDF]
In experimental science and engineering, least squares are ubiquitous in analysis and digital data processing applications. Minimizing sums of squares of some quantities can be interpreted in very different ways and confusion can arise in practice, especially concerning the optimality and reliability of the results.
openaire +2 more sources
Solution of the least squares method problem of pairwise comparison matrices [PDF]
Pairwise comparison matrix, Least squares approximation, Polynomial system, Homotopy method, Incomplete pairwise comparison matrix,
Bozóki, Sándor, Sándor Bozóki
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A new construction algorithm for multi-output radial basis function (RBF) network modelling is introduce by combining a locally regularized orthogonal least squares (LROLS) model selection with a D-optimality experimental design.
Hong, X., Harris, C.J., Chen, S.
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Least trimmed squares (LTS) is a statistical technique for estimation of unknown parameters of a linear regression model and provides a “robust” alternative to the classical regression method based on minimizing the sum of squared residuals.
Čížek, Pavel, Víšek, Jan Ámos
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Least-square means (± SE) of milk yield and milkability traits as a function of the temperament indicators (n = 76).
Marta Fonseca Martins (3850786) +6 more
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The General Least Square Deviation OWA Operator Problem
A crucial issue in applying the ordered weighted averaging (OWA) operator for decision making is the determination of the associated weights. This paper proposes a general least convex deviation model for OWA operators which attempts to obtain the ...
Dug Hun Hong, Sangheon Han
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Least Square Homotopy Perturbation Method for Ordinary Differential Equations
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
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The ε-normalized sign regressor least mean square (NSRLMS) adaptive algorithm
In this paper, expressions are derived for the steady-state and tracking excess-mean-square error (EMSE) of the ε-normalized sign regressor least mean square (NSRLMS) adaptive algorithm.
Zerguine, A., Ulla Faiz, M.
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