Prediction of fabric formability based on fuzzy neural network

Based on the relationship between FAST extension,bending properties,and fabric formability,this paper applies FCM clustering to determine the number of fuzzy rule,and proposes an objective evaluation system of fabric formability by using fuzzy neural network.Fabric samples are cut every 10°(45°included) from warp-wise to weft-wise,and 66 and 33 groups of data obtained are used for neural network learning and stimulation respectively.The experimental results demonstrate that the proposed system can be used as a prediction system for fabric formability according to its weave structure and physical properties.It gives evaluation indexes quickly and accurately,with absolute value of the maximum relative error less than 7.7%.