Title :
Neural network forecasting evaluation of virtual coats´ profile appearance
Author :
Xu, Jihong ; Gao, Shuping ; Zhang, Wenbin
Author_Institution :
Yangzhou Polytech. Coll., Yangzhou, China
Abstract :
In this paper, experts have subjectively evaluated profile appearance of 36 garments which were made of different materials and had different ease. The coherence of experts´ evaluations were tested through Friedman method. Main factors witch affected garments appearance ease were used as independent variables to establish BP neural network forecast model and multi-regression forecast model of evaluation toward garments profile appearance. It was found that neural network model was more precise than the multi-regression model.
Keywords :
clothing; clothing industry; forecasting theory; neural nets; production engineering computing; regression analysis; BP neural network forecast model; Friedman method; garments appearance; garments profile appearance; multiregression forecast model; multiregression model; neural network forecasting evaluation; neural network model; virtual coats profile appearance; Clothing; Coherence; Educational institutions; Fabrics; Hip; Mechanical factors; Neural networks; Predictive models; Regression analysis; Testing; BP Neural Network; Virtual Coats´ Profile; multi-regression model; subjectively evaluated;
Conference_Titel :
Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on
Conference_Location :
Wenzhou
Print_ISBN :
978-1-4244-5266-8
Electronic_ISBN :
978-1-4244-5268-2
DOI :
10.1109/CAIDCD.2009.5375138
