USING ARTIFICIAL NEURAL NETWORK ALGORITHM TO PREDICT TENSILE PROPERTIES OF COTTON-COVERED NYLON CORE YARNS

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GHARAH AGHAJI A.A.; PALHANG M.; SHANBEH M.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: ESTEGHLAL Year:2005 | Volume:24 | Issue:2 Page(s): 241-251

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Title

USING ARTIFICIAL NEURAL NETWORK ALGORITHM TO PREDICT TENSILE PROPERTIES OF COTTON-COVERED NYLON CORE YARNS

Author(s)

GHARAH AGHAJI A.A. | PALHANG M. | SHANBEH M. | Issue Writer Certificate

Keywords

ARTIFICIAL NEURAL NETWORKQ2

BACK PROPAGATION ALGORITHMQ4

CORE-SPUN YARNSQ4

CROSS VALIDATIONQ4

TENSILE PROPERTIESQ2

Abstract

ARTIFICIAL NEURAL NETWORKs are information processing systems. Over the past several years, these algorithms have received much attention for their applications in pattern completing, pattern matching and classification and also for their use as a tool in various areas of problem solving. In this work, an ARTIFICIAL NEURAL NETWORK model is presented for predicting the TENSILE PROPERTIES of cotton-covered nylon core yarns. Multilayer Feed forward network with Back Propagation learning algorithm was used to study the relationship and mapping among the process parameters, i.e. count of sheath part, count of core part, applying pretension to the core part, inserted twist to the core spun-yarn as well as TENSILE PROPERTIES, i.e. breaking strength and breaking elongation. The results show that ANN is an effective method for the prediction of the TENSILE PROPERTIES of these yarns. This is due to the fact that in each case, standard deviation of prediction error for test and train data was less than that obtained from the expreiments.

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APA: Copy

GHARAH AGHAJI, A.A., PALHANG, M., & SHANBEH, M.. (2005). USING ARTIFICIAL NEURAL NETWORK ALGORITHM TO PREDICT TENSILE PROPERTIES OF COTTON-COVERED NYLON CORE YARNS. ESTEGHLAL, 24(2), 241-251. SID. https://sid.ir/paper/6072/en

Vancouver: Copy

GHARAH AGHAJI A.A., PALHANG M., SHANBEH M.. USING ARTIFICIAL NEURAL NETWORK ALGORITHM TO PREDICT TENSILE PROPERTIES OF COTTON-COVERED NYLON CORE YARNS. ESTEGHLAL[Internet]. 2005;24(2):241-251. Available from: https://sid.ir/paper/6072/en

IEEE: Copy

A.A. GHARAH AGHAJI, M. PALHANG, and M. SHANBEH, “USING ARTIFICIAL NEURAL NETWORK ALGORITHM TO PREDICT TENSILE PROPERTIES OF COTTON-COVERED NYLON CORE YARNS,” ESTEGHLAL, vol. 24, no. 2, pp. 241–251, 2005, [Online]. Available: https://sid.ir/paper/6072/en

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