Simulating the Filtration Properties of Nonwoven Fabrics: Comparison of Artificial Neural Network, Statistical and Grey Models

Abstract:

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The artificial neural network, statistical and grey models are established for predicting the filtration properties of melt blown nonwoven fabrics from the processing parameters. The results show that the ANN model yields very accurate predictions and a reasonably good ANN model can be achieved with relatively few data points. The statistical model gives satisfactory prediction results for most cases, and the grey model needs to be improved for precise predictions. The results show great perspective of this research in the field of computer assisted design of melt blowing nonwoven technology.

Info:

Periodical:

Edited by:

Qi Luo

Pages:

1021-1027

DOI:

10.4028/www.scientific.net/AMM.20-23.1021

Citation:

T. Chen et al., "Simulating the Filtration Properties of Nonwoven Fabrics: Comparison of Artificial Neural Network, Statistical and Grey Models", Applied Mechanics and Materials, Vols. 20-23, pp. 1021-1027, 2010

Online since:

January 2010

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Price:

$35.00

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