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Soft Computing Based Modeling in Intelligent Systems pp 63–92Cite as

Model Based Anytime Soft Computing Approaches in Engineering Applications

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 196))

Abstract

Nowadays practical solutions of engineering problems involve model-integrated computing. Model based approaches offer a very challenging way to integrate a priori knowledge into the procedure. Due to their flexibility, robustness, and easy interpretability, the application of soft computing, in particular fuzzy and neural network based models, may have an exceptional role at many fields, especially in cases where the problem to be solved is highly nonlinear or when only partial, uncertain and/or inaccurate data is available. Nevertheless, ever so advantageous their usage can be, it is still limited by their exponentially increasing computational complexity. Although, a possible solution can be, if we combine soft computing and anytime techniques, because the anytime mode of operation is able to adaptively cope with the available, usually imperfect or even missing information, the dynamically changing, possibly insufficient amount of resources and reaction time.

In this chapter the applicability of (Higher Order) Singular Value Decomposition based anytime Soft Computational models is analyzed in dynamically changing, complex, time-critical systems.

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Author information

Authors and Affiliations

  1. Dept. of Measurement and Information Systems, Budapest University of Technology and Economics, Integrated Intelligent Systems Japanese-Hungarian Laboratory, Magyar Tudósok krt 2., H-1521, Budapest, Hungary

    Annamária R. Várkonyi-Kóczy

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  1. Annamária R. Várkonyi-Kóczy
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Editors and Affiliations

  1. ”Aurel Vlaicu” University from Arad, Arad, Romania

    Valentina Emilia Balas

  2. Budapest Tech , Budapest, Hungary

    János Fodor

  3. Budapest University of Technology and Economics , Budapest, Hungary

    Annamária R. Várkonyi-Kóczy

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Várkonyi-Kóczy, A.R. (2009). Model Based Anytime Soft Computing Approaches in Engineering Applications. In: Balas, V.E., Fodor, J., Várkonyi-Kóczy, A.R. (eds) Soft Computing Based Modeling in Intelligent Systems. Studies in Computational Intelligence, vol 196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00448-3_4

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  • DOI: https://doi.org/10.1007/978-3-642-00448-3_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00447-6

  • Online ISBN: 978-3-642-00448-3

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