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Structural Parameter Identification Using Interval Functional Link Neural Network

  • Deepti Moyi SahooEmail author
  • S. Chakraverty
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

This paper presents a procedure to identify uncertain structural parameters of multistorey shear buildings by interval functional link neural network. The structural parameters are identified using the response of the structure with both ambient and forced vibration. Here interval functional link neural network has been used to train interval data. The polynomials used in the functional link are Chebyshev polynomial. Different degrees of Chebyshev polynomial is used for training and further it is tested with interval Legendre polynomial using the stored converged weights of ChNN. These polynomials are taken in interval form. It is seen that by using interval functional link neural network the computational time is very less compared to interval neural network. Accordingly example problems of two and five-storey shear buildings have been analyzed for free and forced vibration case to show the efficiency of the IFLNN model.

Keywords

Structural parameters Chebyshev polynomials ChNN IChNN Shear buildings 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Mathematics, School of ScienceO.P. Jindal UniversityRaigarhIndia
  2. 2.Department of MathematicsNational Institute of Technology RourkelaRourkelaIndia

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