Method for predicting the quality of cotton yarn using a data-driven hybrid generalized regression neural network with small samples
Published online on August 14, 2025
Abstract
Textile Research Journal, Ahead of Print.
Aiming at the problems of low prediction accuracy, poor stability, and dependence on sample size of backpropagation (BP) artificial neural networks commonly used in current yarn quality prediction research, a prediction method combining grid search (GS) ...
Aiming at the problems of low prediction accuracy, poor stability, and dependence on sample size of backpropagation (BP) artificial neural networks commonly used in current yarn quality prediction research, a prediction method combining grid search (GS) ...