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Science SQC, New Quality Control Principle pp 217–235Cite as

CAE Design

Improvement in CAE Analytic Precision

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Abstract

It is shown that combining multivariate analysis with neural networks is useful for solving problems with complex interaction such as vehicle aerodynamics of lift. This method leads us to various valuable observations. In this paper, we show the effectiveness of this method.

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Author information

Authors and Affiliations

  1. Aoyama Gakuin University, 5-10-1 Fuchinobe, Sagamihara-shi, Kanagawa, 229-8558, Japan

    Kakuro Amasaka PhD. (Professor)

Authors
  1. Kakuro Amasaka PhD.
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© 2004 Springer Japan

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Amasaka, K. (2004). CAE Design. In: Science SQC, New Quality Control Principle. Springer, Tokyo. https://doi.org/10.1007/978-4-431-53969-8_13

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  • DOI: https://doi.org/10.1007/978-4-431-53969-8_13

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-67971-4

  • Online ISBN: 978-4-431-53969-8

  • eBook Packages: Springer Book Archive

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