Simultaneous Localization and Mapping with Identification of Landmarks Based on Monocular Vision
p.90
p.90
Research of 3D Woven C/C Composites Bending Properties
p.95
p.95
Characterization and PL Properties of Ge-Induced Crystallization of a-Si Films Deposited by Magnetron Sputtering
p.99
p.99
Prediction of Cotton Ring Yarn Evenness Properties from Process Parameters by Using Artificial Neural Network and Multiple Regression Analysis
p.103
p.103
Prediction of Breaking Elongation of Polyester/Cotton Yarn in Ring Spun Processing
p.108
p.108
Despeckling Algorithm of SAR Image Based on EMD and PCA
p.113
p.113
Research on Lightning Monitoring System of Solar Photovoltaic Power Generation System
p.117
p.117
Novel Plasticity Integration Algorithm in Improved Inverse Analysis Method and its Verification in Clover-Shaped Cup Drawing
p.121
p.121
Effect of Nitrogen and Sulphur on the Growth and Qualities of Bunching Onion
p.127
p.127
Prediction of Breaking Elongation of Polyester/Cotton Yarn in Ring Spun Processing
Abstract:
The artificial neural network model is used to predict the breaking elongation of polyester/cotton ring spinning yarn in this paper. In order to achieve the objective, a series of trials is conducted. The prediction values and actual test values of which are found to be rather close. Therefore, the artificial neural network model proves to be more feasible in the prediction of breaking elongation of polyester/cotton ring spinning yarn.
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Periodical:
Advanced Materials Research (Volume 366)
Pages:
108-112
Citation:
Online since:
October 2011
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© 2012 Trans Tech Publications Ltd. All Rights Reserved
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