Exploració per tema "Multi-layer perceptron"
Ara es mostren els items 1-4 de 4
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A data-driven-based industrial refrigeration optimization method considering demand forecasting
(2020-05-21)
Article
Accés obertOne of the main concerns of industry is energy efficiency, in which the paradigm of Industry 4.0 opens new possibilities by facing optimization approaches using data-driven methodologies. In this regard, increasing the ... -
Improving the energy efficiency of industrial refrigeration systems by means of data-driven load management
(2020-09-05)
Article
Accés obertA common denominator in the vast majority of processes in the food industry is refrigeration. Such systems guarantee the quality and the requisites of the final product at the expense of high amounts of energy. In this ... -
Tourism demand forecasting with neural network models: different ways of treating information
(John Wiley & Sons, 2014-07-21)
Article
Accés restringit per política de l'editorialThis paper aims to compare the performance of three different artificial neural network techniques for tourist demand forecasting: a multi-layer perceptron, a radial basis function and an Elman network. We find that ... -
Tourism demand forecasting with neural network models: different ways of treating information
(2014-07-21)
Article
Accés restringit per política de l'editorialThis paper aims to compare the performance of three different artificial neural network techniques for tourist demand forecasting: a multi-layer perceptron, a radial basis function and an Elman network. We find that ...