Exploració per tema "Informàtica tova"
Ara es mostren els items 1-9 de 9
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A genetic programming approach for economic forecasting with survey expectations
(Multidisciplinary Digital Publishing Institute, 2022-06-30)
Article
Accés obertWe apply a soft computing method to generate country-specific economic sentiment indicators that provide estimates of year-on-year GDP growth rates for 19 European economies. First, genetic programming is used to evolve ... -
A hierarchical perspective to fuzzy inductive reasoning: an attempt to obtain more understandable fuzzy inductive reasoning rules
(2015)
Comunicació de congrés
Accés restringit per política de l'editorialGeneralizing hypotheses based on the past data in order to predict the future is the essential core of human learning. Various successful methods and techniques have been developed so far that perform some sort of ... -
A soft computing decision support framework to improve the e-learning experience
(Society for Computer Simulation International San Diego, 2008)
Text en actes de congrés
Accés obertIn this paper an e-learning decision support framework based on a set of soft computing techniques is presented. The framework is mainly based on the FIR methodology and two of its key extensions: a set of Causal Relevance ... -
Fuzzy inductive reasoning forecasting strategies able to cope with missing data: A smart grid application
(2017-02)
Article
Accés obertDealing with missing data is of great practical and theoretical interest in forecasting applications. In this study, we deal with the problem of forecasting with missing data in smart grid and BEMS applications, where the ... -
Fuzzy inductive reasoning forecasting strategies able to cope withmissing data: A smart grid application
(2017-02)
Article
Accés obertDealing with missing data is of great practical and theoretical interest in forecasting applications. In this study, we deal with the problem of forecasting with missing data in smart grid and BEMS applications, where the ... -
Fuzzy inductive reasoning: a consolidated approach to data-driven construction of complex dynamical systems
(2012)
Article
Accés restringit per política de l'editorialFuzzy inductive reasoning (FIR) is a modelling and simulation methodology derived from the General Systems Problem Solver. It compares favourably with other soft computing methodologies, such as neural networks, genetic ... -
K nearest neighbour optimal selection in fuzzy inductive reasoning for smart grid applications
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Text en actes de congrés
Accés obertEnergy recasting has been an area of great interest in the last years. It unlocks, not only the Smart Grid's potential with load balancing but also new business models and added value services. To achieve an accurate, ... -
Random-Walk laplacian for frequency analysis in periodic graphs
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-02-11)
Article
Accés obertThis paper presents the benefits of using the random-walk normalized Laplacian matrix as a graph-shift operator and defines the frequencies of a graph by the eigenvalues of this matrix. A criterion to order these frequencies ... -
Researching of the deep neural network for amber gemstone classification
(Universitat Politècnica de Catalunya, 2018)
Projecte Final de Màster Oficial
Accés obert
Realitzat a/amb: Kauno Technologijos universitetasThis project is based on the researching of the deep neural network for the classification of amber gemstone seen as a great opportunity to expand the range of application of the well known deep learning, which have been ...