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Relevance Analysis between Drapability and Mechanical Properties of the Silk Fabric

Excerpt

Focusing on the nonlinearity of the relation between mechanical properties and the fabric drapability, a BP neural networks model as well as a support vector machine model are proposed to process the relationship mapping mechanical parameters to the fabric drape function and predicts the fabric drape coefficient. In the case of silk fabric, both the proposed SVM and the BP neural networks can realize excellent performance with respect to the drapability evaluation and prediction. Simulation experiments show that the SVM evaluation model outperforms the BP neural networks model when predicting the drape coefficient even though its approximation capability is less than BP neural networks model in the procedure of learning.

Introduction
Selected Mechanical Parameters
Drapability Evaluation
Simulation Experiments
Conclusions
Acknowledgement
References

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