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Prediction of Properties of Unknotted Spliced Ends of Yarns Using Multiple Regression and Artificial Neural Networks. Part II: Veri.cation of Regression Models
layer diagrams surface diagrams learning quality validation quality
2009/6/16
A verification of regressive models based on artificial neural networks and multiple regression
analysis was carried out. The analysis of the results obtained showed that artificial
neural networks ...
Prediction of Properties of Unknotted Spliced Ends of Yarns Using Multiple Regression and Artificial Neural Networks. Part I: Identification of Spliced Joints of Combed Wool Yarn by Artificial Neural Networks and Multiple Regression
combed wool yarn pneumatically spliced joints additive quantities
2009/6/15
Applying the software environment Statistica for neural networks allowed the use of artificial
neural networks and regression analysis to predict the physical properties of unknotted
joints of yarn ...
Prediction Method for Wrinkle Grade by Image Analysis
Wrinkle after washing Wrinkle grade Sensory evaluation Textural analysis
2009/4/13
This paper describes an objective evaluation method for fabric wrinkles of shirts formed after washing. The fabric wrinkle images were measured by texture analysis and evaluated subjectively by expe...
The Prediction of Cotton Ring Yarn Properties from AFIS Fibre Properties by Using Linear Regression Models
cotton yarn cotton fibre AFIS ring spinning regression analysis
2009/2/16
In this paper some models for predicting the most important ring yarn quality characteristics were built by using AFIS (Advanced Fibre Information System) data. Yarn count, twist and roving properties...
The Prediction of Elongation and Recovery of Woven Bi-Stretch Fabric Using Artificial Neural Network and Linear Regression Models
woven fabric elongation recovery artificial neural network
2009/2/11
Stretch woven fabrics are widely used because of their good elongation and recovery (residual extension) properties. Several parameters and test method are used to measure the properties of these fabr...