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Avaliação estatística de métodos de poda aplicados em neurônios intermediários da rede neural MLP
(2006-12-01)
There are several papers on pruning methods in the artificial neural networks area. However, with rare exceptions, none of them presents an appropriate statistical evaluation of such methods. In this article, we proved ...
ECG arrhythmia classification based on optimum-path forest
(2013-07-01)
An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG) signals, since the non-invasive nature and simplicity of the ECG exam. According to the application, ECG data analysis consists ...
Rainfall prediction methodology with binary multilayer perceptron neural networks
(2019-02-15)
Precipitation, in short periods of time, is a phenomenon associated with high levels of uncertainty and variability. Given its nature, traditional forecasting techniques are expensive and computationally demanding. This ...
Aplicação da rede neural MLP (Multilayer Perceptron) em indústria de pisos e revestimentos do pólo cerâmico de Santa Gertrudes - SP
(2013-01-01)
Neural Network MLP (Multilayer Perceptron) application in the flooring and ceramic tile industries in the Ceramic Pole of Santa Gertrudes-SP - Artificial Neural Networks constitute an alternative to traditional programmed ...
Prediction of Dispersion Relation and PBGs in 2-D PCs by Using Artificial Neural Networks
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2012)
Comparison of logistic and neural network models to fit to the egg production curve of White Leghorn hens
(Poultry Science Assoc Inc, 2011-03-01)
Neural networks are capable of modeling any complex function and can be used in the poultry and animal production areas. The aim of this study was to investigate the possibility of using neural networks on an egg production ...
Comparison of Regression and Neural Networks Models to Estimate Solar Radiation
(Instituto de Investigaciones Agropecuarias, INIA, 2010)
Reference evapotranspiration forecasting by artificial neural networks
(2017-01-01)
Evapotranspiration (ET) is the main component of water balance in agricultural systems and the most active variable of the hydrological cycle. In the literature, few studies have used the forecast the day before via ...
Development and validation of an artificial neural network to support the diagnosis of melanoma from dermoscopic imagesDesenvolvimento e validação de rede neural artificial para suporte ao diagnóstico de melanoma em imagens dermatoscópicas
(2021-01-01)
Introduction: With the advancement of digital image analysis, predictive analysis, and machine learning methods, studies have emerged regarding the use of artificial intelligence in imaging tests such as dermoscopy. ...