Results 21 to 30 of about 540,445 (288)
Single-spin scanning magnetic microscopy with radial basis function reconstruction algorithm
Exotic magnetic structures, such as magnetic skyrmions and domain walls, are becoming more important in nitrogen-vacancy center scanning magnetometry. However, a systematic imaging approach to mapping stray fields with fluctuation of several milliteslas ...
Ding, Bei +9 more
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Solving high-order partial differential equations with indirect radial basis function networks [PDF]
This paper reports a new numerical method based on radial basis function networks (RBFNs) for solving high-order partial differential equations (PDEs).
Mai-Duy, N., Tanner, R. I.
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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
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Space-time radial basis functions
Radial basis functions have turned out in practice to be extremely useful and interesting to analyse for theoretical study. They are approximations that treat all components of the underlying -- possibly high-dimensional -- space equal, and, while this is usually an additional advantage, it is not, when space-time is studied.
MYERS D. E. +3 more
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TEXT CLASSIFICATION BASED ON FUZZY RADIAL BASIS FUNCTION
Automated classification of text into predefined categories has always been considered as a vital method in the natural language processing field. In this paper new methods based on Radial Basis Function (RBF) and Fuzzy Radial Basis Function (FRBF) are ...
Zuhair Ali
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Anisotropic Radial Basis Function Methods for Continental Size Ice Sheet Simulations
In this paper we develop and implement anisotropic radial basis function methods for simulating the dynamics of ice sheets and glaciers. We test the methods on two problems: the well-known benchmark ISMIP-HOM B that corresponds to a glacier size ice and ...
Cheng, Gong, Shcherbakov, Victor
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Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression [PDF]
We develop a particle swarm optimisation (PSO) aided orthogonal forward regression (OFR) approach for constructing radial basis function (RBF) classifiers with tunable nodes.
Chen, S, Harris, C J, Hong, Xia
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Radial basis function approach in nuclear mass predictions
The radial basis function (RBF) approach is applied in predicting nuclear masses for 8 widely used nuclear mass models, ranging from macroscopic-microscopic to microscopic types.
Guo, J. Y. +5 more
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Chess Position Evaluation Using Radial Basis Function Neural Networks
The game of chess is the most widely examined game in the field of artificial intelligence and machine learning. In this work, we propose a new method for obtaining the evaluation of a chess position without using tree search and examining each candidate
Dimitrios Kagkas +2 more
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A Discrete Adapted Hierarchical Basis Solver For Radial Basis Function Interpolation
In this paper we develop a discrete Hierarchical Basis (HB) to efficiently solve the Radial Basis Function (RBF) interpolation problem with variable polynomial order.
Castrillon-Candas, Julio Enrique +2 more
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