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Publicaciones

Representative datasets for neural networks

Authors

Gonzalez-Diaz R. , PALUZO HIDALGO, EDUARDO, Gutiérrez-Naranjo M.A.

External publication

No

Means

Electron. Notes Discrete Math.

Scope

Article

Nature

Científica

JCR Quartile

✗

SJR Quartile

✗

SJR Impact

0.347

Web

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049891030&doi=10.1016%2fj.endm.2018.06.016&partnerID=40&md5=4346596ada3a490c4c4caf1b3b2e2d22

Publication date

01/01/2018

Scopus Id

2-s2.0-85049891030

DOI

10.1016/j.endm.2018.06.016

Abstract

Neural networks present big popularity and success in many fields. The large training time process problem is a very important task nowadays. In this paper, a new approach to get over this issue based on reducing dataset size is proposed. Two algorithms covering two different shape notions are shown and experimental results are given. © 2018 Elsevier B.V.

Keywords

Algorithm; neural networks; proximity graph; a-shape