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

摘要

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 ends. The database entered into the network was built on