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Applied Soft Computing Technologies: The Challenge of Complexity pp 775–784Cite as

Soft Computing in Engineering Design: A Fuzzy Neural Network for Virtual Product Design

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Part of the book series: Advances in Soft Computing ((AINSC,volume 34))

Abstract

This paper presents a fuzzy neural network approach to virtual product design. In the paper, a novel soft computing framework is developed for engineering design based on a hybrid intelligent system technique. First, a fuzzy neural network (FNN) model is proposed for supporting modeling, analysis and evaluation, and optimization tasks in the design process, which combines fuzzy logic with neural networks. The developed system provides a unified soft computing design framework with computational intelligence. The system has self-modifying and self-learning functions. Within the system, only one network is needed training for accomplishing the evaluation, rectification/modification and optimization tasks in the design process.

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Author information

Authors and Affiliations

  1. National Institute of Standards and Technology, USA

    Xuan F Zha

Authors
  1. Xuan F Zha
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Editor information

Editors and Affiliations

  1. School of Computer Science and Engineering, Chung-Ang University, Heukseok-dong 221, 156-756, Seoul, Korea

    Ajith Abraham

  2. Department of Applied Mathematics Biometrics and Process Control, University Gent, Coupure Links 653, 9000 Gent, Belgium

    Bernard de Baets

  3. Dept. Automation Technologies, Fraunhofer IPK Berlin, Pascalstr. 8-9, 10587, Berlin, Germany

    Mario Köppen

  4. Dept. Automation Technologies, Fraunhofer IPK Berlin, Pascalstr. 8-9, 10587, Berlin, Germany

    Bertram Nickolay

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© 2006 Springer

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Cite this paper

Zha, X.F. (2006). Soft Computing in Engineering Design: A Fuzzy Neural Network for Virtual Product Design. In: Abraham, A., de Baets, B., Köppen, M., Nickolay, B. (eds) Applied Soft Computing Technologies: The Challenge of Complexity. Advances in Soft Computing, vol 34. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31662-0_59

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  • DOI: https://doi.org/10.1007/3-540-31662-0_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31649-7

  • Online ISBN: 978-3-540-31662-6

  • eBook Packages: EngineeringEngineering (R0)

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