Results 1 to 10 of about 60,572 (264)

Tunable superconducting neurons for networks based on radial basis functions [PDF]

Beilstein Journal of Nanotechnology, 2022
The hardware implementation of signal microprocessors based on superconducting technologies seems relevant for a number of niche tasks where performance and energy efficiency are critically important.
Andrey E. Schegolev, Nikolay V. Klenov, Sergey V. Bakurskiy, Igor I. Soloviev, Mikhail Yu. Kupriyanov, Maxim V. Tereshonok, Anatoli S. Sidorenko   +6 more
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Approximation of Bivariate Functions by Generalized Wendland Radial Basis Functions

Mathematics
In this work, we deal with two approximation problems in a finite-dimensional generalized Wendland space of compactly supported radial basis functions. Namely, we present an interpolation method and a smoothing variational method in this space. Next, the
Abdelouahed Kouibia, Pedro González, Miguel Pasadas, Bassim Mustafa, Hossain Oulad Yakhlef, Loubna Omri   +5 more
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Multidimensional generalizations of atomic radial basis functions

Вісник Харківського національного університету імені В.Н. Каразіна. Серія: Математичне моделювання, інформаційні технології, автоматизовані системи управління, 2023
Possible approaches to generalizing multidimensional atomic radial basis functions are presented. The functions of mathematical physics are used in solving two-dimensional and three-dimensional boundary value problems with partial derivatives.
Володимир Колодяжний, Ольга Лісіна, Денис Лісін   +2 more
doaj   +1 more source

An alternative method for phase-unwrapping of interferometric data [PDF]

Journal of the European Optical Society-Rapid Publications, 2014
In this paper we present a novel algorithm for phase unwrapping where only a subset of data from the wrapped phase map is used to reconstruct the unwrapped phase map as a linear combination of radial basis functions (RBF’s).
de la Rosa-Miranda E., Gonzalez-Ramirez E., Villa-Hernández J. J., Berriel-Valdos L. R., Olvera-Olvera C., de la Rosa-Vargas J. I., Saucedo-Anaya T., Arceo Olague J. G., Alaniz-Lumbreras D., Castaño V. M.   +9 more
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Extended Hermite Radial Basis Functions for Sparse Contours Interpolation

IEEE Access, 2020
In this paper, we present an extended Hermite radial basis functions interpolant for surface reconstruction of sparse contours that allows for shape control with interactive constraints.
Deyun Zhong, Liguan Wang, Lin Bi
doaj   +1 more source

Meshless Computational Strategy for Higher Order Strain Gradient Plate Models

Mathematical and Computational Applications, 2022
The present research focuses on the use of a meshless method for the solution of nanoplates by considering strain gradient thin plate theory. Unlike the most common finite element method, meshless methods do not rely on a domain decomposition.
Francesco Fabbrocino, Serena Saitta, Riccardo Vescovini, Nicholas Fantuzzi, Raimondo Luciano   +4 more
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Integration within Fluid Dynamic Solvers of an Advanced Geometric Parameterization Based on Mesh Morphing

Fluids, 2022
Numerical optimization procedures are one of the most powerful approaches with which to support design processes. Their implementation, nevertheless, involves several conceptual and practical complexities.
Ubaldo Cella, Daniele Patrizi, Stefano Porziani, Torbjörn Virdung, Marco Evangelos Biancolini   +4 more
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Curvature based characterization of radial basis functions: application to interpolation

Mathematical Modelling and Analysis, 2023
Choosing the scale or shape parameter of radial basis functions (RBFs) is a well-documented but still an open problem in kernel-based methods. It is common to tune it according to the applications, and it plays a crucial role both for the accuracy and ...
Mohammad Heidari, Maryam Mohammadi, Stefano De Marchi   +2 more
doaj   +1 more source

A Fast Solution for the Generalized Radial Basis Functions Interpolant

IEEE Access, 2020
In this paper, we propose a fast solution method of the generalized radial basis functions interpolant for global interpolation. The method can be used to efficiently interpolate large numbers of geometry constraints for implicit surface reconstruction ...
Deyun Zhong, Liguan Wang, Lin Bi
doaj   +1 more source

Performance of Multilayer Perceptron Neural Network Models and Radial-Based Functions in Estimation of Sugar-cane Crop Yield [PDF]

Journal of Agricultural Science and Sustainable Production, 2020
Background and objective: According to the high importance of sustainable crop production in the agro-industry units, intelligent systems such as artificial neural networks should be used to manage farm units.Therefore, the main purpose of this study was
Sina Sharifi, Nasim Monjezi, Negar Hafezi   +2 more
doaj   +1 more source