@Article{FaustinoNovaPinhCarp:2014:ImPeFu,
               author = "Faustino, Claudio Paulo and Novaes, Camila Paiva and Pinheiro, 
                         Carlos Alberto M. and Carpinteiro, Ot{\'a}vio A.",
          affiliation = "{Federal University of Itajub{\'a}} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Federal University of 
                         Itajub{\'a}} and {Federal University of Itajub{\'a}}",
                title = "Improving the performance of fuzzy rules-based forecasters through 
                         application of FCM algorithm",
              journal = "Artificial Intelligence Review",
                 year = "2014",
               volume = "41",
               number = "2",
                pages = "287--300",
                month = "Feb.",
             keywords = "artificial intelligence techniques, clustering, data clustering 
                         algorithm, forecasting time series, fuzzy C mean, Holt-Winters 
                         method, statistical modeling, time series forecasting, fuzzy 
                         logic, fuzzy systems, neural networks, time series, fuzzy rules.",
             abstract = "Prediction models based on artificial intelligence techniques have 
                         been widely used in Time Series Forecasting in several areas. They 
                         are often fuzzy models or neural networks. This paper describes 
                         the development of neural and fuzzy models for forecasting time 
                         series of practical examples, and shows the comparisons of results 
                         between models, including the results of statistical modeling. The 
                         use of data clustering algorithms like Fuzzy C-Means is considered 
                         in fuzzy models.",
                  doi = "10.1007/s10462-011-9308-9",
                  url = "http://dx.doi.org/10.1007/s10462-011-9308-9",
                 issn = "0269-2821 and 1573-7462",
                label = "scopus 2014-05 FaustinoNovaPinhCarp:2014:ImPeFu",
             language = "en",
           targetfile = "art_10.1007_s10462-011-9308-9.pdf",
        urlaccessdate = "23 abr. 2024"
}