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

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, S. Z. Zhao, L. L. Wu, "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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