Abstract
Neural networks are the most recent development in computer technology. This chapter discusses how neural networks can be used in probabilistic structural mechanics. Because many engineers working in the field of probabilistic structural mechanics would have only a vague understanding of neural networks, a brief discussion of neural networks, including background, development, fundamental concepts, and a mathematical description is provided in Sections 3 through 6. This is followed by an actual application of neural networks in probabilistic structural mechanics, namely, the ranking of pipe welds in a power plant according to their failure probabilities.
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© 1995 Springer Science+Business Media Dordrecht
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Chapman, O.J.V., Crossland, A.D. (1995). Neural Networks in Probabilistic Structural Mechanics. In: Sundararajan, C. (eds) Probabilistic Structural Mechanics Handbook. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1771-9_14
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DOI: https://doi.org/10.1007/978-1-4615-1771-9_14
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5713-1
Online ISBN: 978-1-4615-1771-9
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