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Results Connected to Time Series Analysis and Machine Learning

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Research in Computer Science in the Bulgarian Academy of Sciences

Part of the book series: Studies in Computational Intelligence ((SCI,volume 934))

Abstract

Machine learning is connected to the scientific study of algorithms and statistical models used by computer systems to perform a specific task without using explicit instructions. In this chapter we describe results of our studies on the methods connected to machine learning and the practical application of these methods to various problems by our team in the last two decades. We discuss in more detail the research on concepts of the nonlinear time series analysis and extreme events theory and their applications to natural, economic and social systems, statistical analysis of flows in channels of networks and the methodology for solving nonlinear differential equations.

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Acknowledgements

We acknowledge the partial support by the project BG05M2OP001-1.001-0008 “National Center for Mechatronics and Clean Technologies”, funded by the Operating Program “Science and Education for Intelligent Growth” of Republic of Bulgaria.

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Authors and Affiliations

  1. Institute of Mechanics, Bulgarian Academy of Sciences, Akad. G. Bonchev 4, 1113, Sofia, Bulgaria

    Nikolay K. Vitanov

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  1. Nikolay K. Vitanov
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Correspondence to Nikolay K. Vitanov .

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Editors and Affiliations

  1. Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Krassimir T. Atanassov

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Vitanov, N.K. (2021). Results Connected to Time Series Analysis and Machine Learning. In: Atanassov, K.T. (eds) Research in Computer Science in the Bulgarian Academy of Sciences. Studies in Computational Intelligence, vol 934. Springer, Cham. https://doi.org/10.1007/978-3-030-72284-5_17

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