西安工程大学学报Issue(6)：704-708,5.
基于曲线拟合文化式原型袖窿和袖山结构研究
Research on armhole and sleeve cap structure of culture prototype based on curve fitting
摘要
Abstract
The parameters influencing the armhole and sleeve cap structures of culture prototype were col‐lected firstly .Afterwards the relationship between the parameters and armhole and sleeve cap structure was revealed by least square method and RBF artificial neural network .Through comparing the proper‐ties of two curve fitting model ,it is indicated that the two curve fitting model are both feasible to esti‐mate the pattern data .And the accuracy of estimating by least square method curve fitting model is high‐er than that of RBF ANN model .关键词
袖窿/袖山/曲线拟合/最小二乘法/RB F神经网络Key words
armhole/sleeve cap/curve fitting/least square method/RBF artificial neural network分类
轻工纺织引用本文复制引用
王竹君,李婷玉,邢英梅,叶汇元..基于曲线拟合文化式原型袖窿和袖山结构研究[J].西安工程大学学报,2014,(6):704-708,5.基金项目
安徽省高等学校省级优秀青年人才基金资助项目（2012SQRL089）；国家级大学生创新创业训练计划资助项目（201210363124）；安徽省大学生创新创业训练资助项目（AH201310363304）；安徽工程大学青年科研基金资助项目（2007YQ050）；安徽工程大学校级本科教学质量提升计划项目 （）
