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Textile Engineering and Case Based Reasoning

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Distributed Computing and Artificial Intelligence, 13th International Conference

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 474))

Abstract

Textile Engineering relies increasingly on the use of computer models that seek to predict the properties and performance of certain textile structures. Those models have been using different computational tools to represent fabrics in a suitable computing environment and also to predict its final properties. Among others, the mathematical models to simulate the behavior of the studied textile structures (yarns, fabrics, kniting and nonwoven). The analysis of textile designs or structures through the Finite Element Method (FEM) has largely facilitated the prediction of their behavior of the textile structure under mechanical loads. For classification problems Artificial Neural Networks (ANNs) have proved to be a very effective tool for a quick and accurate solution. The Case-Based Reasoning (CBR) method is proposed, to complement the results of the those systems where the finite element simulation, mathematical modeling and neural networks can not be applied.

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Author information

Authors and Affiliations

  1. Department of Chemical and Textile Engineering, University of Salamanca, Salamanca, Spain

    J. Bullón Pérez

  2. Department of Computer Science and Control, University of Salamanca, Salamanca, Spain

    A. González Arrieta

  3. Department of Applied Mathematics, University of Salamanca, Salamanca, Spain

    A. Hernández Encinas & A. Queiruga Dios

Authors
  1. J. Bullón Pérez
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  2. A. González Arrieta
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  3. A. Hernández Encinas
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  4. A. Queiruga Dios
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Corresponding author

Correspondence to J. Bullón Pérez .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, Osaka Institute of Technology Faculty of Engineering, Osaka, Osaka, Japan

    Sigeru Omatu

  2. Faculty of Computer Science & Informatio, Universiti Teknologi Malaysia (UTM) Faculty of Computer Science & Informatio, Baharu, Malaysia

    Ali Semalat

  3. Department of Electronics and Compu, Koszalin University of Technology Department of Electronics and Compu, Koszalin, Poland

    Grzegorz Bocewicz

  4. Faculty of Electrical Engineering and Cs, Kielce University of Technology Faculty of Electrical Engineering and Cs, Kielce, Poland

    Paweł Sitek

  5. Faculty of Engineering and Science, Aalborg University Faculty of Engineering and Science, Aalborg, Denmark

    Izabela E. Nielsen

  6. ETS Ingeniería Informática, University of Sevilla ETS Ingeniería Informática, Sevilla, Spain

    Julián A. García García

  7. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid Departamento de Inteligencia Artificial, Madrid, Spain

    Javier Bajo

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© 2016 Springer International Publishing Switzerland

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Bullón Pérez, J., González Arrieta, A., Hernández Encinas, A., Queiruga Dios, A. (2016). Textile Engineering and Case Based Reasoning. In: Omatu, S., et al. Distributed Computing and Artificial Intelligence, 13th International Conference. Advances in Intelligent Systems and Computing, vol 474. Springer, Cham. https://doi.org/10.1007/978-3-319-40162-1_46

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  • DOI: https://doi.org/10.1007/978-3-319-40162-1_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40161-4

  • Online ISBN: 978-3-319-40162-1

  • eBook Packages: EngineeringEngineering (R0)

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