Prediction for effect of environmental factors on silk fabric mechanical properties by BP neural network

For the problem that humidity,temperature,PH value and their interaction can accelerate the ageing of silk fabrics,a BP neural network model was developed to predict the effect of environmental factors on the mechanical properties of silk fabrics.Firstly,L9(34) orthogonal experiment was employed to design the interactive environment of humidity,temperature and PH value,and silk fabric were placed in the interactive environment and subjected to ageing treatment for 24 h.Secondly,the type 3365 Instron universal material testing machine was used to test the breaking strength of the silk fabric after ageing treatment,and the breaking strength value obtained was used as the BP neural network training sample,and then a three-layer neural network was established to perform iterative training and prediction.The result showed that the relative errors of the training output values and the actual experimental values are smaller than 0.005%,indicating that BP neural network can predict the mechanical properties of silk fabrics effectively.