PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

On the models of cross-linking efficiency of cotton cellulose obtained by genetic programming
Maja Rotovnik, Miran Brezočnik, Olivera Šauperl and Janez Žerovnik
Int. j. chem. model. Volume 3, Number 3, pp. 183-198, 2011.

Abstract

The crosslinking effect of unmercerized and mercerized cotton cellulose crosslinked with different BTCA mass fractions in the impregnation bath has been investigated. Crosslinking efficiency has been analyzed using FT-IR spectroscopy, water retention capacity method, tensiometry and the methylene blue method. In a previous paper [Brezocnik and Sauperl, Materials Research Innovations 10(1) (2006) 45-62], genetic programming method was used and different prediction models for crosslinking efficiency have been developed based on the experimental data which were obtained with the separate physical-chemical methods. Here we compare the results with various models obtained by the least squares method and discuss the results.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:8682
Deposited By:Igor Pesek
Deposited On:18 February 2012