Software basado en redes neuronales artificiales para la autocorrección de mensajes de texto en el proyecto pic-13 2013 de la Universidad Nacional de Trujillo

• Autores: Rojas Alarcon, Jordan Ulises, Toribio Esquivel, Jordyn Presmier
• Formato: tesis de grado
• Fecha de Publicación: 2019
• Institución: Universidad Nacional de Trujillo
• Repositorio: UNITRU-Tesis
• Lenguaje: español
• OAI Identifier: oai:dspace.unitru.edu.pe:20.500.14414/12399
• Enlace del recurso: https://hdl.handle.net/20.500.14414/12399
• Nivel de acceso: acceso abierto
• Materia: Inteligencia artificial

The Project PIC-13 2013 of the National University of Trujillo is a won project to be earned by Mining Canon to promove the scientific investigation. The project called “Desarrollo de un Sistema Inteligente para Controlar Llamadas y Mensajes Maliciosos como Medios de Extorsión” seeks to identify extortionist text messages and calls for a post legal actuation against those. However, the project hasn’t got a software that corrects unreadable text messages. This proccess is the previous step towards the identification if these are used as a way of extortion or not. For that reason the need arises to autocorrect the text messages that are received. For the elaboration of this software, we used artificial intelligence, specifically artificial neural networks that are the most indicated for the cases of autocorrection. Besides, we used Hopfield neural network because it allows easy handling of layers of the artificial neural network.