Abstract
This paper presents the application of Artificial Neural Network (ANN) modeling for the prediction of abrasion resistance of Persian handmade wool carpets. Four carpet constructional parameters, namely knot density, pile height, number of ply in pile yarn and pile yarn twist have been used as input parameters for ANN model. The prediction performance was judged in terms of statistical parameters like correlation coefficient (R) and Mean Absolute Percentage Error (MAPE). Though the training performance of ANN was very good, the generalization ability was not up to the mark. This implies that large number of training data should be used for the adequate training of ANN models.
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Gupta, S.K., Goswami, K.K. Modeling of Abrasion Resistance Performance of Persian Handmade Wool Carpets Using Artificial Neural Network. J. Inst. Eng. India Ser. E 96, 175–180 (2015). https://doi.org/10.1007/s40034-014-0050-0
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DOI: https://doi.org/10.1007/s40034-014-0050-0