IEEE

RBF-KAN: Radial Basis Function-Kolmogorov-Arnold Networks

Abstract: This paper proposes a novel neural network architecture RBF-KAN, integrating the theoretical robustness of Kolmogorov-Arnold Networks (KANs) with the localized features of Radial Basis ...
EurekAlert!

Massively parallel implementation of nonlinear functions using an optical processor

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...
IEEE

Successive Radial Basis Function Approximation for Finite-Horizon Nonlinear H∞ Control Problems

Abstract: In this paper, a successive radial basis function (RBF) approximation approach is proposed to solve the Hamilton-Jacobi-Isaacs (HJI) partial differential equation (PDE) associated with ...
Scientific Research Publishing

Sarra, S.A. and Kansa, E.J. (2009) Multiquadric Radial Basis Function Approximation Methods for the Numerical Solution of Partial Differential Equations. Computational ...

ABSTRACT: We solve numerically an eigenvalue elliptic partial differential equation (PDE) ranging from two to six dimensions using the generalized multiquadric (GMQ) radial basis functions (RBFs). Two ...
GitHub

radial-basis-function

pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with ...
Scientific Research Publishing

Sarra, S.A. and Kansa, E.J. (2009) Multiquadric Radial Basis Function Approximation Methods for the Numerical Solution of Partial Differential Equations.

ABSTRACT: Accurately approximating higher order derivatives is an inherently difficult problem. It is shown that a random variable shape parameter strategy can improve the accuracy of approximating ...
UMass Lowell

Ph.D. Dissertation Proposal Defense in Electrical and Computer Engineering: Lidan Cao 4/16

Advisor: Xingwei Wang, Professor, Electrical and Computer Engineering Department, UMass Lowell Xuejun Lu, Professor, Electrical and Computer Engineering Department, UMass Lowell Hualiang Zhang, ...