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Neural Analysis of Concrete Shrinkage

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Neural Networks and Soft Computing

Part of the book series: Advances in Soft Computing ((AINSC,volume 19))

Abstract

Results of tests on laboratory specimens were selected from the data bank described in [4]. The tests on concrete plates concerning the shrinkage strains up to 435 days at nearly stationary humidity and temperatures were accepted as a data to compare the experimental results with the Eurocode 2 recommendations [3]. The comparison was made by means of three neural networks: BPNN-Rprop, RBFNN and ANFIS. It was stated that the RBFNN approximation is close to EC curves.

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References

  1. Denmuth H, Beale M (1998) Neural network toolbox for use with Matlab, User’s Guide, Version 3. The Math Works

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  2. Denmuth H, Beale M (1998) Fuzzy logic toolbox for use with Matlab, User’s Guide, Version 3. The Math Works

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  3. ENV 1992–1–1: (1992) Eurocode 2, Design of concrete structures, P.1: General rules and rules for buildings

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  4. Ligeza W, (2002) Redistribution of internal forces in braced concrete plate elements (in Polish), Dept. Civil Eng., Cracow Univ. of Technology, Monograph No 277.

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Author information

Authors and Affiliations

  1. Department of Civil and Environmental Engineering, University of Zielona Góra, ul. Prof. Z. Szafrana 2, 65-516, Zielona Góra, Poland

    Anna Urbańska

  2. Institute of computer Methods in Civil Engineering, Cracow University of Technology, ul. Warszawska 24, 31-155, Kraków, Poland

    Zenon Waszczyszyn

Authors
  1. Anna Urbańska
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  2. Zenon Waszczyszyn
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Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Technical University Częstochowa, Al. Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski

  2. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

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© 2003 Springer-Verlag Berlin Heidelberg

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Urbańska, A., Waszczyszyn, Z. (2003). Neural Analysis of Concrete Shrinkage. In: Rutkowski, L., Kacprzyk, J. (eds) Neural Networks and Soft Computing. Advances in Soft Computing, vol 19. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1902-1_122

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  • DOI: https://doi.org/10.1007/978-3-7908-1902-1_122

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-0005-0

  • Online ISBN: 978-3-7908-1902-1

  • eBook Packages: Springer Book Archive

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