Proceso de reconocimiento de objetos, asistido por computador (visión artificial), aplicando gases neuronales y técnicas de minería de datos
Abstract
El presente trabajo desarrolla un modelo de reconocimiento de objetos basado en la forma de los mismos. Para dicho fin se revisan y comparan muchas técnicas de Inteligencia Artificial que son potenciales herramientas para resolver el roblema; demostrando así la efectividad única que posee para dicho fin una de las mejores técnicas para cluster en IA, desarrollada entre otros, en trabajos doctorales de la Universidad de Alicante y Valladolid (España), como lo son los gases neuronales crecientes. Finalmente se enuncian las posibilidades tangibles que esta técnica abre no sólo para reconocer formas, sino también, texturas, colores y movimiento (visión completa).Downloads
Downloads
-
Vistas(Views): 702
- PDF (Español (España)) Descargas(Downloads): 499
Published
How to Cite
Issue
Section
License
Copyright (c) 2017 Scientia et technica
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyrights
The journal is free open access. The papers are published under the Creative Commons Attribution / Attribution-NonCommercial-NoDerivatives 4.0 International - CC BY-NC-ND 4.0 license. For this reason, the author or authors of a manuscript accepted for publication will yield all the economic rights to the Universidad Tecnológica of Pereira free of charge, taking into account the following:
In the event that the submitted manuscript is accepted for publication, the authors must grant permission to the journal, in unlimited time, to reproduce, to edit, distribute, exhibit and publish anywhere, either by means printed, electronic, databases, repositories, optical discs, Internet or any other required medium. In all cases, the journal preserves the obligation to respect, the moral rights of the authors, contained in article 30 of Law 23 of 1982 of the Government Colombian.
The transferors using ASSIGNMENT OF PATRIMONIAL RIGHTS letter declare that all the material that is part of the article is entirely free of copyright. Therefore, the authors are responsible for any litigation or related claim to intellectual property rights. They exonerate of all responsibility to the Universidad Tecnológica of Pereira (publishing entity) and the Scientia et Technica journal. Likewise, the authors accept that the work presented will be distributed in free open access, safeguarding copyright under the Creative Commons Attribution / Recognition-NonCommercial-NoDerivatives 4.0 International - https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es license.