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 +6 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 +2 more
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A Sequential Optimization Sampling Method for Metamodels with Radial Basis Functions [PDF]
The Scientific World Journal, 2014 Metamodels have been widely used in engineering design to facilitate analysis and optimization of complex systems that involve computationally expensive simulation programs. The accuracy of metamodels is strongly affected by the sampling methods. In this
Guang Pan +3 more
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Advanced Radial Basis Functions Mesh Morphing for High Fidelity Fluid-Structure Interaction with Known Movement of the Walls: Simulation of an Aortic Valve [PDF]
Computational Science – ICCS 202020th International Conference, 2020 Geronzi L +8 more
europepmc +3 more sources
Estimating diffusion propagator and its moments using directional radial basis functions. [PDF]
IEEE Trans Med Imaging, 2015 Ning L, Westin CF, Rathi Y.
europepmc +2 more sources
NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions [PDF]
IEEE International Conference on Computer Vision, 2023 We present a novel type of neural fields that uses general radial bases for signal representation. State-of-the-art neural fields typically rely on grid-based representations for storing local neural features and N-dimensional linear kernels for ...
Z. Chen +6 more
semanticscholar +1 more source
Image registration using radial basis functions with adaptive radius. [PDF]
Med Phys, 2012 Shusharina N, Sharp G.
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Scaling of Radial Basis Functions [PDF]
IMA Journal of Numerical Analysis, 2022 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.
E. Larsson, R. Schaback
semanticscholar +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. +9 more
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Global optimization via inverse distance weighting and radial basis functions [PDF]
Computational optimization and applications, 2019 Global optimization problems whose objective function is expensive to evaluate can be solved effectively by recursively fitting a surrogate function to function samples and minimizing an acquisition function to generate new samples.
A. Bemporad
semanticscholar +1 more source