Results 21 to 30 of about 27,406 (291)

The Merit of Different Error Minimization Criteria in Approximate Analysis [PDF]

open access: yes, 1972
The generation of approximate periodic solutions for certain ordinary nonlinear differential equations is considered. Three different minimization criteria are discussed within the context of a generalized equivalent equation type of analysis.
E. J. Patula, W. D. Iwan
core   +1 more source

A significant minimization of Pearson’s X2 statistics in 2x2 contingency tables: preliminary results for small samples

open access: yesEpidemiology, Biostatistics and Public Health, 2022
  The Pearson’s chi-square test or X2 test represents a nonparametric test more used in Medicine, Biology and Social Sciences, but it introduces some error for 2x2 contingency tables, therefore Yates introduces a continuity correction.
Nicola Serra
doaj  

MRDPGA: a multiple restart dynamic population genetic algorithm for scheduling road traffic

open access: yesJournal of Electrical Systems and Information Technology, 2023
A genetic algorithm is a biologically inspired stochastic approach to finding solutions to optimization problems. However, unlike its deterministic counterpart, it cannot guarantee a globally optimal solution since it may be trapped within a local ...
Babangida Zachariah   +3 more
doaj   +1 more source

Optimization of Adaptive Three-Mode GBN Scheme Control Parameters [PDF]

open access: yesRadioengineering, 2017
An adaptive three-mode system based on mbox{Go-Back-N} (GBN) protocol is analyzed within this paper. An ideal mode selection procedure based on a-priori known packet error probability is defined.
R. Vojinovic, M. Dakovic
doaj  

Application of the Hurricane Optimization Algorithm to Estimate Parameters in Single-Phase Transformers Considering Voltage and Current Measures

open access: yesComputers, 2022
In this research paper, a combinatorial optimization approach is proposed for parameter estimation in single-phase transformers considering voltage and current measurements at the transformer terminals.
Brandon Cortés-Caicedo   +2 more
doaj   +1 more source

Steady-state mean-square deviation analysis of improved normalized subband adaptive filter [PDF]

open access: yes, 2018
A new minimization criterion for the normalized subband adaptive filter (NSAF), which is called improved NSAF (INSAF), was introduced recently to improve the performance of the steady-state mean-square deviation (MSD).
Koo, G, Kim, SW, Jeong, JJ, Koo, K
core   +1 more source

Modeling the magnetocaloric effect of spinel ferrites for magnetic refrigeration technology using extreme learning machine and genetically hybridized support vector regression computational methods

open access: yesCogent Engineering, 2023
Spinel ferrites are magnetic oxide materials with potentials to promote green technology in magnetic refrigeration which is known to be economically clean, energy saving and efficient.
Wasiu Adeyemi Oke   +6 more
doaj   +1 more source

Value of information in the mean-square case and its application to the analysis of financial time-series forecast [PDF]

open access: yes, 2023
The advances and development of various machine learning techniques has lead to practical solutions in various areas of science, engineering, medicine and finance.
Pardalos, P., Belavkin, R., Principe, J.
core   +1 more source

Asymptotic Integrated Mean Square Error Using Least Squares and Bias Minimizing Splines

open access: yesThe Annals of Statistics, 1980
Let $S^d_k$ be the set of $d$th order splines on $\lbrack 0, 1 \rbrack$ having $k$ knots $\xi_1 < \xi_2 \cdots < \xi_k$. We consider the estimation of a sufficiently smooth response function $g$, using $n$ uncorrelated observations, by an element $s$ of $S^d_k$.
Agarwal, Girdhar G., Studden, W. J.
openaire   +3 more sources

Sensor placement minimizing the state estimation mean square error: Performance guarantees of greedy solutions [PDF]

open access: yes2020 59th IEEE Conference on Decision and Control (CDC), 2020
This paper studies selecting a subset of the system's output to minimize the state estimation mean square error (MSE). This results in the maximization problem of a set function defined on possible sensor selections subject to a cardinality constraint. We consider to solve it approximately by a greedy search.
Akira Kohara   +3 more
openaire   +2 more sources

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