Neutron star classifier with a multilayer neural network using R

Neutron star classifier with a multilayer neural network using R

Journal

  • Journal title: Innovación y Software
  • ISSN: 2708-0927 (print) 2708-0935 (online)
  • Publisher: Universidad La Salle
  • Country of publisher: peru
  • Platform/Host/Aggregator: OJS
  • Date added to EuroPub: 2020/Jun/29

Subject and more

  • LCC Subject Category: Computer and Information Science, Computer Science, Software Engineering, Engineering, Technology, Artificial Intelligence
  • Publisher's keywords: multilayer, neurons, network, perceptron, stars.
  • Language of fulltext: spanish, catalan, english
  • Full-text formats available: PDF
  • Time From Submission to Publication: 6

AUTHORS

    Luis Angel Aliaga Marica, Edilson Wanser Herrera Villa , José Mejía Huayhua , Lizette Quispe Flores

FULL TEXT

To download PDF files Login to your Account.

ABSTRACT

In this work what will be done is to analyze the exercise "Neutron star classifier" for this, the first thing will be presented a brief introduction of our proposed exercise, then we will carry out the basic concepts of a neural network since it is the one chosen for the resolution of this exercise, but this is classified by artificial neural networks according to the network topology and networks according to the learning method, where it has been seen to be convenient to do it with the multilayer neural network - multilayer perceptron, then you will have the data cleaning, transformation of cases, selection of cases, selection of a data language as well as the packages, framework libraries that will be used, to then carry out the execution of the training technique, trained model, verification phase, analysis of the results and analysis of the client; finally come to conclusions.

About Europub

EuroPub is a comprehensive, multipurpose database covering scholarly literature, with indexed records from active, authoritative journals, and indexes articles from journals all over the world. The result is an exhaustive database that assists research in every field. Easy access to a vast database at one place, reduces searching and data reviewing time considerably and helps authors in preparing new articles to a great extent. EuroPub aims at increasing the visibility of open access scholarly journals, thereby promoting their increased usage and impact.