Results 31 to 40 of about 1,175,505 (360)
Space-time radial basis functions
Computers & Mathematics with Applications, 2002 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
Iraqi Journal for Computers and Informatics, 2019 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
doaj +1 more source
Anisotropic Radial Basis Function Methods for Continental Size Ice Sheet Simulations
, 2017 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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Adaptive radial basis function–generated finite differences method for contact problems [PDF]
International Journal for Numerical Methods in Engineering, 2018 This paper proposes an original adaptive refinement framework using radial basis function–generated finite differences method. Node distributions are generated with a Poisson disc sampling–based algorithm from a given continuous density function, which ...
J. Slak, G. Kosec
semanticscholar +1 more source
A Discrete Adapted Hierarchical Basis Solver For Radial Basis Function Interpolation
, 2012 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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Identification of Nonlinear Systems Using Radial Basis Function Neural Network [PDF]
, 2014 This paper uses the radial basis function neural network (RBFNN) for system identification of nonlinear systems. Five nonlinear systems are used to examine the activity of RBFNN in system modeling of nonlinear systems; the five nonlinear systems are ...
Pislaru, Crinela, Shebani, Amer
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Radial basis function approach in nuclear mass predictions
, 2013 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
Complexity, 2023 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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Nuclear mass predictions with radial basis function approach
, 2011 With the help of radial basis function (RBF) and the Garvey-Kelson relation, the accuracy and predictive power of some global nuclear mass models are significantly improved.
Liu, Min, Wang, Ning
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A new radial basis function for Helmholtz problems [PDF]
, 2012 postprin
Chen, W, Lin, J, Sze, KY
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