Results 11 to 20 of about 1,175,505 (360)
Random vibration analysis with radial basis function neural networks
International Journal of Dynamics and Control, 2021 Random vibrations occur in many engineering systems including buildings subject to earthquake excitation, vehicles traveling on a rough road and off-shore platform in random waves.
Xi Wang +3 more
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Radial basis function‐based exoskeleton robot controller development
IET Cyber-systems and Robotics, 2022 The realisation of a model‐based controller for a robot with a higher degree of freedom requires a substantial amount of computational power. A high‐speed CPU is required to maintain a higher sampling rate.
SK Hasan
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Scaling of radial basis functions
IMA Journal of Numerical Analysis, 2023 Abstract This paper studies the influence of scaling on the behavior of radial basis function interpolation. It focuses on certain central aspects, but does not try to be exhaustive. The most important questions are: How does the error of a kernel-based interpolant vary with the scale of the kernel chosen?
Larsson, Elisabeth, Schaback, Robert
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Radial Basis Function Cascade Correlation Networks
Algorithms, 2009 A cascade correlation learning architecture has been devised for the first time for radial basis function processing units. The proposed algorithm was evaluated with two synthetic data sets and two chemical data sets by comparison with six other standard
Peter de B. Harrington, Weiying Lu
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Radial Basis Function Nets for Time Series Prediction [PDF]
International Journal of Computational Intelligence Systems, 2009 This paper introduces a novel ensemble learning approach based on recurrent radial basis function networks (RRBFN) for time series prediction with the aim of increasing the prediction accuracy. Standing for the base learner in this ensemble, the adaptive
Abdelhamid Bouchachia
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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 +2 more
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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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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
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