Study on rotator cuff of suit based on improved BP neural network

Armhole and sleeve is one of the most complicated parts in the garment construction.Regarding the nonlinear relationship between shoulder cuff modelling and construction paramenters,an improved BP artificial neural network is presented to develop a model of armholes and sleeve of the suit.The neural network in trained using construction parameters of armhole and sleeve as input vectors and three-dimensional sizes as output.Thus,automatic mapping of the construction of armhole and sleeve along with shoulder sleeve modelling is realized.The test results show that this method is effective and accurate,and can predict the shoulder sleeve modelling of the suit,reduce defects of sleeve,and provide a theoretical basis for intelligent manufacturing garment.