BP神经网络在西服样板设计中的应用

Application of BP nerve network in suit pattern design

采用BP神经网络的方法,对西服样板设计进行研究。将西装成品规格尺寸作为输入参数,细部规格尺寸作为输出参数,逐点训练神经网络,研究其非线性映射关系,并利用神经网络的任意函数逼近功能来获得近似函数关系,建立西服样板设计的BP神经网络模型。仿真结果表明:运用人工神经网络进行西服样板设计,有较高的灵敏度,具有很好的应用价值。该研究为实现服装的3D款式造型系统自动生成2D样板,为智能化服装生产,提供了理论与技术参考。

This paper used the artificial nerve network to research the design of suit pattern.Take the specifications and sizes of the finished suits as the input parameters,while the sizes of the detailed parts as the output parameter,then train the nerve network point by point to approach their nonlinear mapping relation.Here,the approaching function of arbitrary function of the nerve network is used to obtain the approximate function relation,and establishes the BP nerve network model for suit pattern design.The simulation results indicated that the research affords the theory and technology referrence for the realization of 2-D patterns produced automatically for the garment styles and that of intelligent garment production.It is a new attempt to associate the apparel science with the information processing science,which will bring new vitality to the research of apparel production technology.