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Selected Soft Computing Tools

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Inverse and Crack Identification Problems in Engineering Mechanics

Part of the book series: Applied Optimization ((APOP,volume 46))

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Abstract

Neural networks, genetic algorithms, fuzzy inference and filtering techniques are increasingly being used for the solution of identification and inverse problems. Their success lies in the fact that they have the potential to overcome certain problems due to ill-conditioning or scaling, nonconvexity and nondifferentiability, as they arise in the considered applications and as they have been discussed in the previous Chapters. All these methods are known as soft computing techniques.

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Authors and Affiliations

  1. Institute of Applied Mathematics, Department of Civil Engineering, Technical University Carolo Wilhelmina, Braunschweig, Germany

    Georgios E. Stavroulakis

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  1. Georgios E. Stavroulakis
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© 2001 Springer Science+Business Media Dordrecht

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Stavroulakis, G.E. (2001). Selected Soft Computing Tools. In: Inverse and Crack Identification Problems in Engineering Mechanics. Applied Optimization, vol 46. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0019-3_4

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  • DOI: https://doi.org/10.1007/978-1-4615-0019-3_4

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-4888-7

  • Online ISBN: 978-1-4615-0019-3

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