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 ...
Radial Basis Function Neural Networks (RBFNNs) are a type of neural network that combines elements of clustering and function approximation, making them powerful for both regression and classification ...
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 ...
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 ...
Sam has loved video games and writing for as long as they can remember. When they aren't gaming or writing, they can be found watching motorsports and ice hockey. Tutorials are often the least ...
X, formerly known as Twitter, is testing its “Not A Bot” program in New Zealand and the Philippines that will charge new, unverified users $1 each year for some of the platform’s base features ...
Abstract: This letter deals with robust estimation of the output layer weights in a radial basis function network (RBFN) with predetermined hidden layer parameters. Specifically, we presume a RBFN ...
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