Results 11 to 20 of about 1,114,464 (144)
Functional Curve Fitting Algorithm via Multi-Heterogeneous Data Curve
Complex computing based on multi-heterogeneous parameters can utilize the Lebesgue measure to measure their linear and non-linear relations in infinite dimensional Hilbert space, which can characterize those different dimensional characteristics in a set
Laixin Shen +3 more
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Models for COVID-19 Daily Confirmed Cases in Different Countries
In this paper, daily confirmed cases of COVID-19 in different countries are modelled using different mathematical regression models. The curve fitting is used as a prediction tool for modeling both past and upcoming coronavirus waves.
Hamdy M. Ahmed +3 more
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Due to the complexity of the operation control of urban rail transit and diversity requirements for section running time standards, based on actual train operation data, this paper proposes a curve fitting method to find the interrelation between running
Lianbo Deng +3 more
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Baroreflex Curve Fitting Using a WYSIWYG Boltzmann Sigmoidal Equation
Arterial baroreflex assessment using vasoactive substances enables investigators to collect data pairs over a wide range of blood pressures and reflex reactions. These data pairs relate intervals between heartbeats or sympathetic neural activity to blood
Karsten Heusser +6 more
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The Mittag-Leffler Fitting of the Phillips Curve
In this paper, a mathematical model based on the one-parameter Mittag-Leffler function is proposed to be used for the first time to describe the relation between the unemployment rate and the inflation rate, also known as the Phillips curve. The Phillips
Tomas Skovranek
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Neural-Network-Based Curve Fitting Using Totally Positive Rational Bases
This paper proposes a method for learning the process of curve fitting through a general class of totally positive rational bases. The approximation is achieved by finding suitable weights and control points to fit the given set of data points using a ...
Rocio Gonzalez-Diaz +3 more
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