Radial basis function network using Lambert-Tsallis Wq function
Quantum Physics
2019-09-04 v1 Disordered Systems and Neural Networks
Abstract
The present work brings two applications of the Lambert-Tsallis Wq function in radial basis function networks (RBFN). Initially, a RBFN is used to discriminate between entangled and disentangled bipartite of qubit states. The kernel used is based on the Lambert-Tsallis Wq function for q = 2 and the quantum relative disentropy is used as distance measure between quantum states. Following, a RBFN with the same kernel is used to estimate the probability density function of a set of data samples.
Cite
@article{arxiv.1904.09185,
title = {Radial basis function network using Lambert-Tsallis Wq function},
author = {J. L. M. da Silva and F. V. Mendes and R. V. Ramos},
journal= {arXiv preprint arXiv:1904.09185},
year = {2019}
}
Comments
9 pages, 6 figures