Tourism demand modeling and forecasting with artificial neural network models: The Mozambique case study

Palavras-chave: hipogonadismo hipogonadotrófico, síndrome de Kallmann, gonadotrofinas, GnRH, eixo hipotálamo-hipófise-gónadas, indução da puberdade, tratamento

In this way, with this paper it is intended to present and discuss several alternative architectures of Artificial Neural Network models used to predict the time series of

This series was separated into a training data set to train the neural network, in a validation set, to stop the training process earlier and a test data set to examine the level

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

In this paper, an RBF neural network was used as a classifier in the face and fingerprint recognition system in which the inputs to the neural network are

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

Three feed-forward neural network models characterized by a similar structure (five neurons in the input layer, one hidden layer and one neuron in the output layer) are

O estudo demonstrou que o gerenciamento ativo de tráfego tem impactos positivos na operação do tráfego e os benefícios mensurados na simulação incluem: redução de