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Application of Neural Nets in Structural Optimization

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Optimization of Large Structural Systems

Part of the book series: NATO ASI Series ((NSSE,volume 231))

Abstract

The biological motivation for Artificial Neural Net developments is briefly discussed, and the most popular paradigm, the feedforward supervised learning net with error back propagation training algorithm, is introduced. Possible approaches for utilization in structural optimization is illustrated through simple examples. Other currently ongoing developments for application in structural mechanics are also mentioned.

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References

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© 1993 Springer Science+Business Media Dordrecht

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Berke, L., Hajela, P. (1993). Application of Neural Nets in Structural Optimization. In: Rozvany, G.I.N. (eds) Optimization of Large Structural Systems. NATO ASI Series, vol 231. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-9577-8_36

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  • DOI: https://doi.org/10.1007/978-94-010-9577-8_36

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-9579-2

  • Online ISBN: 978-94-010-9577-8

  • eBook Packages: Springer Book Archive

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