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Research on the Fitting Garment Pattern Generation Based on BP Nerve Network in the MTM

YU Hui,ZHENG Rui-ping(Tianjin Polytechnic University,Tianjin 300387,China)  
Taking the main body parts size of the testers as the input parameters and the pattern sizes of the cheongsam as the output parameters,by training the neural network,studying the nonlinear mapping relationgship of them,and using arbitrary function approximation function of the neural networks,we obtained the approximate function relationship.Established the BP nerve network model of cheongsam pattern design to study the cheongsam pattern design,based on the realization and application of BP(back propagation) neural network algorithm in the MATLAB.The tests for the samples through the application of NNTool toolbox in the MATLAB,verified the feasibility and validity of BP nerve network,and provided a theoretical and technical reference for the automatic generation system of fitting garment pattern in the MTM.
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