期刊
FIBERS AND POLYMERS
卷 9, 期 6, 页码 782-784出版社
KOREAN FIBER SOC
DOI: 10.1007/s12221-008-0122-1
关键词
ANFIS; Yarn strength; Rotor spun yarn; HVI
This paper provides preliminary results on the relative performance of the adaptive neuro-fuzzy system inference (ANFIS) model versus linear multiple regression method, when applied to the use of cotton fiber properties to predict spun yarn strength obtained from open-end rotor spinning. Fiber properties and yarn count are used as inputs to train the two models and the output (dependent variable) would be the count-strength-product (CSP) of the yarn. The predictive performances of the two models are estimated and compared. We found that the ANFIS has a better average prediction successful in comparison with linear multiple regression model.
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