首页> 外文期刊>American Journal of Engineering Research >Comparison of Fuzzy Intelligent Model and Taguchi Mathematical Model for the Prediction of Bursting Strength of Viscose Plain Knitted Fabrics
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Comparison of Fuzzy Intelligent Model and Taguchi Mathematical Model for the Prediction of Bursting Strength of Viscose Plain Knitted Fabrics

机译:模糊智能模型与田口数学模型对粘胶平纹针织物抗拉强度预测的比较

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摘要

The main objective of this research is to compare the Fuzzy intelligent model and Taguchi mathematical model for the prediction of bursting strength of viscose plain knitted fabrics. The prediction models have been developed based on yarn tenacity and knitting stitch length as input variables and fabric bursting strength as output variable. The models developed in this study have been verified by experimental data and then compared with each other's in terms of prediction accuracy. It was found that both the models have ability and accuracy to predict the fabric bursting strength effectively in non-linear domain. However, Fuzzy intelligent model showed higher prediction accuracy than that of Taguchi mathematical model.
机译:本研究的主要目的是将模糊智能模型和田口数学模型进行比较,以预测粘胶平纹针织物的破裂强度。预测模型是基于纱线的韧度和针织针迹长度作为输入变量,基于织物的破裂强度作为输出变量而开发的。本研究中开发的模型已通过实验数据进行了验证,然后在预测准确性方面进行了比较。发现这两个模型都具有在非线性域中有效预测织物破裂强度的能力和准确性。但是,模糊智能模型的预测精度高于田口数学模型。

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