Abstract
The relatively new field of natural computation has already many useful applications. In this paper the use of multivariate statistics and natural computation to probe process-structure-property relationships is demonstrated. An application of multivariate statistics and natural computation to the relationships between process conditions, physical structure and the (thermo-)mechanical properties of poly(ethylene terephthalate) yarns illustrates their usefulness.
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© 1995 Springer-Verlag London Limited
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de Weijer, A.P. (1995). Modelling of Industrial Processes using Natural Computation. In: Kappen, B., Gielen, S. (eds) Neural Networks: Artificial Intelligence and Industrial Applications. Springer, London. https://doi.org/10.1007/978-1-4471-3087-1_54
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DOI: https://doi.org/10.1007/978-1-4471-3087-1_54
Publisher Name: Springer, London
Print ISBN: 978-3-540-19992-2
Online ISBN: 978-1-4471-3087-1
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