Results 11 to 20 of about 1,725,137 (297)
Fault identification for chiller sensor based on partial least square method [PDF]
E3S 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
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Numerical analysis of least squares and perceptron learning for classification problems [PDF]
, 2020 This work presents study on regularized and non-regularized versions of perceptron learning and least squares algorithms for classification problems.
Beilina, L.
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Deep Least Squares Fisher Discriminant Analysis
IEEE Transactions on Neural Networks and Learning Systems, 2020 While being one of the first and most elegant tools for dimensionality reduction, Fisher linear discriminant analysis (FLDA) is not currently considered among the top methods for feature extraction or classification. In this paper, we will review two recent approaches to FLDA, namely, least squares Fisher discriminant analysis (LSFDA) and regularized ...
David Diaz-Vico, Jose R. Dorronsoro
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Performance analysis of low-flux least-squares single-pixel imaging [PDF]
, 2016 A single-pixel camera is able to computationally form spatially resolved images using one photodetector and a spatial light modulator. The images it produces in low-light-level operation are imperfect, even when the number of measurements exceeds the ...
Goyal, Vivek K. +2 more
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Least Squares Shadowing method for sensitivity analysis of differential equations [PDF]
, 2017 For a parameterized hyperbolic system $\frac{du}{dt}=f(u,s)$ the derivative of the ergodic average $\langle J \rangle = \lim_{T \to \infty}\frac{1}{T}\int_0^T J(u(t),s)$ to the parameter $s$ can be computed via the Least Squares Shadowing algorithm (LSS).
Blonigan, Patrick J. +3 more
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A hybrid least squares and principal component analysis algorithm for Raman spectroscopy. [PDF]
PLoS ONE, 2012 Raman spectroscopy is a powerful technique for detecting and quantifying analytes in chemical mixtures. A critical part of Raman spectroscopy is the use of a computer algorithm to analyze the measured Raman spectra.
Dominique Van de Sompel +3 more
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International Journal of Applied Mechanics and Engineering, 2015 The main purpose of this work is to verify the influence of the weighting procedure in the Least Squares Method on the probabilistic moments resulting from the stability analysis of steel skeletal structures.
M. Kamiński, J. Szafran
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Application of the Iterated Weighted Least-Squares Fit to counting experiments [PDF]
, 2019 Least-squares fits are an important tool in many data analysis applications. In this paper, we review theoretical results, which are relevant for their application to data from counting experiments.
Dembinski, Hans +2 more
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Analysis of a plane stress wave by the moving least squares method [PDF]
Biuletyn Wojskowej Akademii Technicznej, 2014 A meshless method based on the moving least squares approximation is applied to stress wave propagation analysis. Two kinds of node meshes, the randomly generated mesh and the regular mesh are used.
Wojciech Dornowski
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Constructive Analysis for Least Squares Regression with Generalized K-Norm Regularization
Abstract and Applied Analysis, 2014 We introduce a constructive approach for the least squares algorithms with generalized K-norm regularization. Different from the previous studies, a stepping-stone function is constructed with some adjustable parameters in error decomposition.
Cheng Wang, Weilin Nie
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