Modelling of Industrial Processes using Natural Computation
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.
KeywordsGenetic Algorithm Artificial Neural Network Physical Structure Ethylene Terephthalate Natural Computation
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