Application of Neural Network in Civil Engineering Problems
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Cha, Fred
Blumenstein, Michael
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Veljko Milutinovic
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Belgrade, Yugoslavia
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Abstract
In this paper, an artificial neural network (ANN) is applied to several civil engineering problems, which have difficulty to solve or interrupt through conventional approaches of engineering mechanics. These include tide forecasting, earthquake-induced liquefaction and wave-induced seabed instability. As shown in the examples, ANN model can provide reasonable accuracy for civil engineering problems, and a more effective tool for engineering applications.
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Proceedings of the International Conference on Advances in the Internet, Processing, Systems and Interdisciplinary Research (IPSI-2003)
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© The Author(s) 2003. The attached file is posted here with permission of the copyright owners for your personal use only. No further distribution permitted. For information about this conference please refer to the publisher's website or contact the authors.