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Found 306 Documents (Results 1–100)

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Pulido, Martha; Melin, Patricia

Comparison of genetic algorithm and particle swarm optimization of ensemble neural networks for complex time series prediction. (English) Zbl 07392097

Melin, Patricia (ed.) et al., Recent advances of hybrid intelligent systems based on soft computing. Cham: Springer. Stud. Comput. Intell. 915, 51-77 (2021).
MSC:  68Txx 90Cxx
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\textit{M. Pulido} and \textit{P. Melin}, Stud. Comput. Intell. 915, 51--77 (2021; Zbl 07392097)
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Novák, Vilém; Pavliska, Viktor

Time series: how unusual local behavior can be recognized using fuzzy modeling methods. (English) Zbl 1451.62172

Kreinovich, Vladik (ed.), Statistical and fuzzy approaches to data processing, with applications to econometrics and other areas. In honor of Hung T. Nguyen’s 75th birthday. Cham: Springer. Stud. Comput. Intell. 892, 157-177 (2021).
MSC:  62R07 62M86 62M10
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\textit{V. Novák} and \textit{V. Pavliska}, Stud. Comput. Intell. 892, 157--177 (2021; Zbl 1451.62172)
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Afanasieva, T. V.; Platov, P. V.

Forecasting short-term and medium-term time series: a comparison of artificial neural networks and fuzzy models. (English) Zbl 07617308

Valenzuela, Olga (ed.) et al., Theory and applications of time series analysis. Selected contributions from the sixth international conference, ITISE 2019, Granada, Spain, September 2019. Cham: Springer. Contrib. Stat., 349-363 (2020).
MSC:  62M10
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\textit{T. V. Afanasieva} and \textit{P. V. Platov}, in: Theory and applications of time series analysis. Selected contributions from the sixth international conference, ITISE 2019, Granada, Spain, September 2019. Cham: Springer. 349--363 (2020; Zbl 07617308)
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Saleena, A. J.; Jessy John, C.

A new hybrid model based on triple exponential smoothing and fuzzy time series for forecasting seasonal time series. (English) Zbl 1444.62108

Deo, Naokant (ed.) et al., Mathematical analysis II – Optimisation, differential equations and graph theory. Proceedings of the international conference on recent advances in pure and applied mathematics 2018, ICRAPAM 2018, New Delhi, India, October 23–25, 2018. Dedicated to the memory of Prof. Niranjan Singh. Singapore: Springer. Springer Proc. Math. Stat. 307, 179-190 (2020).
MSC:  62M10 62M86 62J05 62P12 62P30
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\textit{A. J. Saleena} and \textit{C. Jessy John}, Springer Proc. Math. Stat. 307, 179--190 (2020; Zbl 1444.62108)
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Gupta, Krishna Kumar; Kumar, Sanjay

Probabilistic intuitionistic fuzzy set based intuitionistic fuzzy time series forecasting method. (English) Zbl 1443.62316

Manna, Santanu (ed.) et al., Mathematical modelling and scientific computing with applications. Proceedings of the international conference, ICMMSC 2018, Indore, India, July 19–21, 2018. Singapore: Springer. Springer Proc. Math. Stat. 308, 315-324 (2020).
MSC:  62M86 62M20 62M10 03E72 03B52
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\textit{K. K. Gupta} and \textit{S. Kumar}, Springer Proc. Math. Stat. 308, 315--324 (2020; Zbl 1443.62316)
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Di Martino, Ferdinando; Sessa, Salvatore

Fuzzy transforms for image processing and data analysis. Core concepts, processes and applications. (English) Zbl 1475.94001

Cham: Springer (ISBN 978-3-030-44612-3/hbk; 978-3-030-44615-4/pbk; 978-3-030-44613-0/ebook). x, 217 p. (2020).
Reviewer: Damian Valdes Santiago (La Habana)
MSC:  94-02 94A08 68U10 94D05 44A15 62A86 62H35
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\textit{F. Di Martino} and \textit{S. Sessa}, Fuzzy transforms for image processing and data analysis. Core concepts, processes and applications. Cham: Springer (2020; Zbl 1475.94001)
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Das, Monidipa; Ghosh, Soumya K.

Enhanced Bayesian network models for spatial time series prediction. Recent research trend in data-driven predictive analytics. (English) Zbl 1445.62001

Studies in Computational Intelligence 858. Cham: Springer (ISBN 978-3-030-27748-2/hbk; 978-3-030-27749-9/ebook). xxiii, 149 p. (2020).
Reviewer: Jonas Šiaulys (Vilnius)
MSC:  62-02 62M10 62M20 62M30 62C10 62F15 91B72 62A86 68T05 62H22
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\textit{M. Das} and \textit{S. K. Ghosh}, Enhanced Bayesian network models for spatial time series prediction. Recent research trend in data-driven predictive analytics. Cham: Springer (2020; Zbl 1445.62001)
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Pal, Shanoli Samui; Kar, Samarjit

Fuzzy time series model for unequal interval length using genetic algorithm. (English) Zbl 1421.62136

Chandra, Peeyush (ed.) et al., Information technology and applied mathematics. ICITAM 2017, Haldia Institute of Technology, Haldia, India, October 30 – November 1, 2017. Singapore: Springer. Adv. Intell. Syst. Comput. 699, 205-216 (2019).
MSC:  62M86 62M10 91B84
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\textit{S. S. Pal} and \textit{S. Kar}, Adv. Intell. Syst. Comput. 699, 205--216 (2019; Zbl 1421.62136)
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Ramasubramanian, Karthik; Singh, Abhishek

Machine learning using R. With time series and industry-based use cases in R. 2nd edition. (English) Zbl 1423.68007

New York, NY: Apress (ISBN 978-1-4842-4214-8/pbk; 978-1-4842-4215-5/ebook). xxiv, 700 p. (2019).
Reviewer: Irina Ioana Mohorianu (Oxford)
MSC:  68-01 68-02 68T05
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\textit{K. Ramasubramanian} and \textit{A. Singh}, Machine learning using R. With time series and industry-based use cases in R. 2nd edition. New York, NY: Apress (2019; Zbl 1423.68007)
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Maharaj, Elizabeth Ann; D’Urso, Pierpaolo; Caiado, Jorge

Time series clustering and classification. (English) Zbl 1435.62006

Chapman & Hall/CRC Computer Science & Data Analysis Series. Boca Raton, FL: CRC Press (ISBN 978-1-4987-7321-8/hbk; 978-0-429-05826-4/ebook). xv, 228 p. (2019).
Reviewer: Ludwig Paditz (Dresden)
MSC:  62-01 62M10 62H30 91C20 62M05
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\textit{E. A. Maharaj} et al., Time series clustering and classification. Boca Raton, FL: CRC Press (2019; Zbl 1435.62006)
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Dalar, Ali Zafer; Eğrioğlu, Erol

Bootstrap type-1 fuzzy functions approach for time series forecasting. (English) Zbl 1397.62363

Tez, Müjgan (ed.) et al., Trends and perspectives in linear statistical inference. Proceedings of the LINSTAT2016 meeting held 22–25 August 2016 in Istanbul, Turkey. Cham: Springer (ISBN 978-3-319-73240-4/hbk; 978-3-319-73241-1/ebook). Contributions to Statistics, 69-87 (2018).
MSC:  62M86 62F40 62P20 62M20 62M10
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\textit{A. Z. Dalar} and \textit{E. Eğrioğlu}, in: Trends and perspectives in linear statistical inference. Proceedings of the LINSTAT2016 meeting held 22--25 August 2016 in Istanbul, Turkey. Cham: Springer. 69--87 (2018; Zbl 1397.62363)
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Coelho, V. N.; Coelho, I. M.; Coelho, B. N.; Souza, M. J. F.; Guimarães, F. G.; Luz, E. J. da S.; Barbosa, A. C.; Coelho, M. N.; Netto, G. G.; Costa, R. C.; Pinto, A. A.; Figueiredo, A. de P.; Elias, M. E. V.; Filho, D. C. O. G.; Oliveira, T. A.

EEG time series learning and classification using a hybrid forecasting model calibrated with GVNS. (English) Zbl 1397.92387

Pardo, Eduardo G. (ed.) et al., Selected short papers of the 4th international conference on variable neighborhood search (ICVNS’16), Malaga, Spain, October 3–5, 2016. Amsterdam: Elsevier. Electronic Notes in Discrete Mathematics 58, 79-86 (2017).
MSC:  92C55 92C20 90C70 68T05 60G25
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\textit{V. N. Coelho} et al., Electron. Notes Discrete Math. 58, 79--86 (2017; Zbl 1397.92387)
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Holčapek, Michal; Nguyen, Linh

Suppression of high frequencies in time series using fuzzy transform of higher degree. (English) Zbl 1460.62146

Carvalho, Joao Paulo (ed.) et al., Information processing and management of uncertainty in knowledge-based systems. 16th international conference, IPMU 2016, Eindhoven, The Netherlands, June 20–24, 2016. Proceedings. Part II. Cham: Springer. Commun. Comput. Inf. Sci. 611, 705-716 (2016).
MSC:  62M10 62M86
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\textit{M. Holčapek} and \textit{L. Nguyen}, Commun. Comput. Inf. Sci. 611, 705--716 (2016; Zbl 1460.62146)
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