1. Repositório Institucional da UFMG
2. Publicações Científicas e Culturais
3. Artigo de Periódico

Type:	Artigo de Periódico
Title:	Evaluation of artificial neural networks and the ARIMA model applied to temperature prediction in a charcoal oven
Authors:	Rogério Santos Maciel Nilton Alves Maia Maurílio José Inácio Fernando Colen Sidney Pereira Luiz Henrique de Souza
Abstract:	This work used the Artificial Neural Networks RBF- Radial Basis Function and MLP- Multilayer Perceptron, the Neurofuzzy ANFIS- Adaptive-network-based Fuzzy Inference System and the model ARIMA-Auto Regressive Integrated Moving Average, to predict the temperature. Different topologies were tested for Artificial Neural Networks and also for Neurofuzzy, in order to find the best configuration. To evaluate the performance of the predictors, the following metrics were used: Root Mean Square Error - RMSE, Mean Square Error - MSE and Mean Absolute Error - MAE. The analysis of the quality of the predictors was also performed using Theil's U coefficient. Analyzing the results of this study, it was possible to verify that the Artificial Neural Networks, the Neurofuzzy Network and the ARIMA model, can be applied to predict the temperature in charcoal kilns, with the MLP and ANFIS networks presenting the best results.
Subject:	Redes neurais (Computação) Carvão vegetal Controle de temperatura
language:	eng
metadata.dc.publisher.country:	Brasil
Publisher:	Universidade Federal de Minas Gerais
Publisher Initials:	UFMG
metadata.dc.publisher.department:	ICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
Rights:	Acesso Aberto
URI:	http://hdl.handle.net/1843/76413
Issue Date:	2023
metadata.dc.url.externa:	http://www.ijern.com/journal/2023/March-2023/04.pdf
metadata.dc.relation.ispartof:	International Journal of Education and Research
Appears in Collections:	Artigo de Periódico

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.