Título: Single-shot learning algorithm for quantum weightless neural networks
Autores: Silva, Adenilton J. da; Ludermir, Teresa B.; Oliveira, Wilson R. de
Resumo: In this paper we present a new quantum learning algorithm for quantum weightless neural networks that is based on quantum superposition principle. The main characteristic of this quantum learning algorithm is its capacity to train a neural network with only one execution of the neural network model. The proposed algorithm is denoted Single Shot quantum Learning Algorithm (SSLA). SSLA is based in the GSN learning algorithm that also requires a single presentation of the train data to the network and in a superposition quantum based learning algorithm.
Código DOI: 10.21528/CBIC2013-246
Artigo em pdf: bricsccicbic2013_submission_246.pdf
Arquivo BibTex: bricsccicbic2013_submission_246.bib