Gaussian process regression (GPR) model. We assess the forecasting performance of the GPR model with respect to several neural … memory of the models increases, the forecasting performance of the GPR improves, suggesting the convenience of designing a …

This paper aims to compare the performance of different Artificial Neural Networks techniques for tourist demand … forecasting. We test the forecasting accuracy of three different types of architectures: a multi-layer perceptron, a radial basis …. These results indicate the potential existence of instabilities when using dynamic networks for forecasting purposes. We …