Self Organising Maps for distinguishing polymer groups using thermal response curves obtained by dynamic mechanical analysis
The AnalystPublished 1 January 2008
Gavin R. Lloyd, Richard G. Brereton, John C. Duncan
Citations44
SJR quartileQ2
SJR score0.62
SNIP0.69
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TL;DR
Self Organising Maps are described including the U-Matrix, component planes, hit histograms, quality indicators as mean quantisation error and topological error, and several new approaches for visualising multiclass maps are employed.
Abstract
Self Organising Maps are described including the U-Matrix, component planes, hit histograms, quality indicators as mean quantisation error and topological error. Software was written in Matlab and several new approaches for visualising multiclass maps are employed. The method is applied to a dataset consisting of the Dynamic Mechanical Analysis of 293 polymers, involving heating the polymers over a temperature range of -51 degrees C to 270 degrees C. These can be characterised in three different ways (a) amorphous or semi-crystalline (b) as 9 groups (c) as 30 grades.
Keywords
ChemistryEngineering
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