Results 11 to 20 of about 95,956 (240)

The Matlab Radial Basis Function Toolbox

Journal of Open Research Software, 2017
Radial Basis Function (RBF) methods are important tools for scattered data interpolation and for the solution of Partial Differential Equations in complexly shaped domains.
Scott A. Sarra
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Point Set Denoising Using Bootstrap-Based Radial Basis Function. [PDF]

PLoS ONE, 2016
This paper examines the application of a bootstrap test error estimation of radial basis functions, specifically thin-plate spline fitting, in surface smoothing.
Khang Jie Liew, Ahmad Ramli, Ahmad Abd Majid   +2 more
doaj   +1 more source

RBFNN Design Based on Modified Nearest Neighbor Clustering Algorithm for Path Tracking Control

Sensors, 2021
Radial basis function neural networks are a widely used type of artificial neural network. The number and centers of basis functions directly affect the accuracy and speed of radial basis function neural networks.
Dongxi Zheng, Wonsuk Jung, Sunghoon Kim
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Revised model for radial Basis Function [PDF]

المجلة العراقية للعلوم الاحصائية, 2008
In this paper , a revised model for radial basis function has been done with application of sunspot time series. It has been arrived at a revised model for nonlinear time series.
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A Novel Meshfree Approach with a Radial Polynomial for Solving Nonhomogeneous Partial Differential Equations

Mathematics, 2020
In this article, a novel radial−based meshfree approach for solving nonhomogeneous partial differential equations is proposed. Stemming from the radial basis function collocation method, the novel meshfree approach is formulated by incorporating ...
Cheng-Yu Ku, Jing-En Xiao, Chih-Yu Liu
doaj   +1 more source

Radial basis function assisted turbo equalisation [PDF]

VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026), 2002
This paper presents a turbo equalization (TEQ) scheme, which employs a radial basis function (RBF)-based equalizer instead of the conventional trellis-based equalizer of Douillard et al. (1995). Structural, computational complexity, and performance comparisons of the RBF-based and trellis-based TEQs are provided.
Yee, M.S., Yeap, B.L., Hanzo, L.
openaire   +4 more sources

Sub-region Alopex optimization method with RSM for design of permanent magnet machines

CES Transactions on Electrical Machines and Systems, 2018
Based on an Alopex optimization algorithm and a response surface model (RSM), a hybrid sub-region methodology is presented to solve the optimal design problems of permanent magnet (PM) machines.
Xiaoyu Liu, W. N. Fu
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CLASSIFICATION SUPPORT VECTOR MACHINE IN BREAST CANCER PATIENTS

Barekeng, 2022
Support vector machine is one of the supervised learning methods in machine learning that is used in classification. The purpose of this study is to measure the accuracy of classification by using 3 hyperplane functions in SVM, namely linear, sigmoid ...
Siti Hadijah Hasanah
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Decision Feedback Equalizers Using Radial Basis Function Networks

Journal of King Saud University: Engineering Sciences, 2000
Decision feedback equalizers (DFE)s are used extensively in practical communication systems. They are more powerful than linear equalizers especially for severe inter-symbol interference (ISI) channels with deep frequency null.
S.A. Zummo, A. Balghonaim, M. Mohandes
doaj   +1 more source

Scattered data approximation using radial basis function with a cubic polynomial reproduction for modelling leaf surface

Journal of Taibah University for Science, 2018
Realistic leaf models are significant for numerous applications in the plant sciences, for instance, modelling pesticide droplet movement on the leaf surface.
Moa’ath N. Oqielat
doaj   +1 more source