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Applications

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Abstract

In this work, we are not focussing only on a formal treatment, but also interested in the applicability of the measures on real data. From this type of analysis, it seems that \(\mathrm {MI}_\mathrm {W}\), so far, is one of the best-suited candidates for applications. This was independently confirmed in previous publications [1-3]. This chapter presents our previous results and discusses them in the context of the recent developments that were presented in the previous chapters.

It doesn’t matter how beautiful your theory is, it doesn’t matter how smart you are. If it doesn’t agree with experiment, it’s wrong

Richard P. Feynman

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Notes

  1. 1.

    http://in.mathworks.com/matlabcentral/fileexchange/11829-dc-motor-model.

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Authors and Affiliations

  1. Max Planck Institute for Mathematics, Leipzig, Sachsen, Germany

    Keyan Ghazi-Zahedi

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  1. Keyan Ghazi-Zahedi
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Correspondence to Keyan Ghazi-Zahedi .

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Ghazi-Zahedi, K. (2019). Applications. In: Morphological Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-20621-5_5

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  • DOI: https://doi.org/10.1007/978-3-030-20621-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20620-8

  • Online ISBN: 978-3-030-20621-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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