Threshold Prediction of a Cyclostationary Feature Detection Process using an Artificial Neural Network

This paper describes the process of modelling tourism demand for the north of Portugal, using an artificial neural network model. Data used in the time series was

Method: A neuro-fuzzy system was developed using the NEFCLASS (NEuro Fuzzy CLASSIfication) architecture and an artificial neural network with backpropagation learning

Podemos concluir que para Severina a matemátic que à usada na sua comunidade "nã à matemática ou nã à vista como um "verdadeira matemática" Ela recons-

In conclusion, an artificial neural network model with variables consisting of age, hematocrit, serum glucose, BUN and serum calcium may be useful for predicting the development

Comparison of artificial neural network and decision tree algorithms used for predicting live weight at post weaning period from some biometrical characteristics in Harnai

A mulit-layer artificial neural network, with a backpropagation training algorithm and 11 neurons in the input layer, was used.. In this type of network, network inputs are

Abstract – The purpose of this work was to evaluate a methodology of adaptability and phenotypic stability of alfalfa genotypes based on the training of an artificial neural

O estudo efetuado através da revisão bibliográfica mostrou que os autores concordam que certos cuidados são capazes de evitar os acidentes e indicam que a agulha utilizada