Construction of recognition model for young females' hip shapes using probabilistic neural network( PNN) method based on 3-D body measurement

How to make a fast and precise recognition of body shapes has become a hot spot in the field of body shape research. In order to improve the fitting of garment on hips,the characteristic of young females' hip shapes was taken into consideration and a recognition model for young females' hip shapes using probabilistic neural network( PNN) method based on 3-D body measurement was constructed. At first,hip size data were acquired based on 3-D body measurement,of which,6 typical indices were extracted,and hip shapes were classified; then probabilistic neural network( PNN) method was introduced,and a model,whose input layer contained six typical indices,output layer was shape types and pattern layer was radial basis function( RBF),was constructed; the simulation was completed by MatLab R2009a,and an exact and steady model was obtained by training; and finally,the accuracy of the model was tested. The result showed that the model had excellent performance with high prediction accuracy,so that it could provide a new method to recognize young females' hip shapes and widen applicability of PNN method as well.