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Fuzzy Recurrence Networks

In: Fuzzy Recurrence Plots and Networks with Applications in Biomedicine

Author

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  • Tuan D. Pham

    (Prince Mohammad Bin Fahd University, The Center for Artificial Intelligence)

Abstract

Fuzzy recurrence networksRecurrence networks can beFuzzy recurrence network constructed fromFuzzy recurrence plots fuzzy recurrence plotsRecurrence plots of nonlinear time series to extract latent features of complex dynamical systemsDynamical systems. Defuzzified, undirected, unweighted, and weighted networks of fuzzy recurrences are described in this chapter. Fuzzy recurrenceFuzzy recurrence network networksRecurrence networks are scalable to meet the demand for the network-based analysis of big data and useful for the handling of very long time seriesTime series to reduce the computational requirements in terms of computing time and memory storage. The formulation ofWeighted fuzzy recurrence networks weighted fuzzy recurrence networksRecurrence networks of multichannel dataMultichannel data is also presented in this chapter.

Suggested Citation

  • Tuan D. Pham, 2020. "Fuzzy Recurrence Networks," Springer Books, in: Fuzzy Recurrence Plots and Networks with Applications in Biomedicine, chapter 0, pages 57-79, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-37530-0_5
    DOI: 10.1007/978-3-030-37530-0_5
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