Flexible Automation and Integrated Manufacturing 1999
ISBN Print: 978-1-56700-133-4
PRELIMINARY COST MODELLING FOR PROCESS VESSELS
DOI: 10.1615/FAIM1999.800
pages 945-952
Аннотация
The aim of the project was to generate cost estimation formulae using the minimum amount of design information. Capital cost data for pressure vessels were analysed with a range of techniques including regression analysis, neural networks, rational polynomials, non-linear equations and fuzzy matching. Two sets of real industrial cost information were studied. The results showed that regression analysis using a power-law (or multiplicative function) gave convenient and reasonable cost correlations. The best overall technique was a neural network having a particularly simple structure (i.e., a single hidden layer with just one or two elements within it).
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