Answers are grounded in this paper and cite their sources.
Neural networks are used to predict the performance of fabrics in clothing manufac turing. The predictions are based on fabric mechanical properties measured on the KES-FB system. The influence of the number of input and hidden nodes on the convergence speed and the prediction accuracy are investigated. Tests indicate that these artificial neural networks are effective for predicting potential problems in clothing manufacturing.
No takes yet. Share an insight, caveat, or question.
Gong et al. (1999) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: