Abstract
This book dealt with the use of computational intelligence methods for finite-element-model updating. Finite-element-model updating is a process through which finite-element models are tuned to better reflect the measured data. This is based on the rational assumption that the measured data are more reliable than the finite-element-model’s predicted data.
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References
Burnham KP, Anderson DR (2002) Model Selection and Multimodel Inference: A Practical-Theoretic Approach, 2nd edn. Springer-Verlag, Berlin
Borodin A, El-Yaniv R (1998) Online Computation and Competitive Analysis. Cambridge University Press, London
Cantrell CD (2000) Modern Mathematical Methods for Physicists and Engineers. Cambridge University Press
Krause U (1987) Hierarchial structures in multicriteria decision making, in J Jahn, W Krabs (eds) Recent Advances and Historical Development of Vector optimization Springer-Verlag, Berlin:183–193
Mahalanobis PC (1936) On the Generalised Distance in Statistics. In: Proc. Nat. Inst. of Sciences of India 2:49–55
Mthembu L, Marwala T, Friswell MI, Adhikari S (2009a) Bayesian Evidence for Finite Element Model Updating. In: Proc. of the IMAC XXVII, Orlando, Florida
Mthembu L, Marwala T, Friswell MI, Adhikari S (2009b) Finite Element Model Selection Using Particle Swarm Optimization. arXiv:0910.2217.
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(2010). Conclusions and Emerging State-of-the-art. In: Finite-element-model Updating Using Computional Intelligence Techniques. Springer, London. https://doi.org/10.1007/978-1-84996-323-7_12
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DOI: https://doi.org/10.1007/978-1-84996-323-7_12
Publisher Name: Springer, London
Print ISBN: 978-1-84996-322-0
Online ISBN: 978-1-84996-323-7
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