Adaptive fuzzy modeling of interval-valued stream data and application in cryptocurrencies prediction
Author:
Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06263-5.pdf
Reference34 articles.
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2. Angelov P, Filev D (2004) An approach to online identification of Takagi–Sugeno fuzzy models. IEEE Trans Syst Man Cybern B 34(1):484–498
3. Arroyo J, Espínola R, Maté C (2011) Different approaches to forecast interval time series: a comparison in finance. Comput Econ 27(2):169–191
4. Billard L, Diday E (2000) Regression analysis for interval-valued data. In: Data analysis, classification and related methods: proceedings of the 7th conference of the IFCS, pp 369–374
5. Burns K, Moosa I (2015) Enhancing the forecasting power of exchange rate models by introducing nonlinearity: does it work? Econ Model 50:27–39
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