Abstract
A set of commercial data relating physical dimensions and materials to the purchase cost of simple process vessels has been analysed using multilinear regression and artificial neural networks. The ability of each of these approaches to estimate purchase cost is compared with a third method which combines elements of the first two.
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References
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© 1995 Springer-Verlag/Wien
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Leck, M., Bromley, P., Peel, D., Gerrard, A.M. (1995). The Costing of Process Vessels Using Neural Networks. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7535-4_20
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DOI: https://doi.org/10.1007/978-3-7091-7535-4_20
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82692-8
Online ISBN: 978-3-7091-7535-4
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