By modeling the decision-making process of garment coordination of fashion designers,a kind of computer-aid garment coordination using fuzzy neural network was proposed. The Takagi-Sugeno Fuzzy Neural Network (TSFNN) ...By modeling the decision-making process of garment coordination of fashion designers,a kind of computer-aid garment coordination using fuzzy neural network was proposed. The Takagi-Sugeno Fuzzy Neural Network (TSFNN) is used to learn the knowledge and rules of fashion designers on garment coordination and calculate the garment coordination satisfaction index (GCSI). The implementation of the computer-aid garment coordination tool is divided into two stages. The first stage is to acquire the knowledge of garment coordination. The second stage is to train and use the fuzzy neural network to conduct garment coordination. Three layers structure were also discussed for developing the system. By applying the computer-aid garment coordination tool into a real fashion-retailing store,the experimental results show the system performs well with choosing a suitable value for screening out the satisfaction coordination pairs.展开更多
Improving customer experience has become a more and more important role in enhancing customer service in fashion retailing business. In this study,a kind of intelligent garment coordination and try-on system for fashi...Improving customer experience has become a more and more important role in enhancing customer service in fashion retailing business. In this study,a kind of intelligent garment coordination and try-on system for fashion retailing was proposed. Radio Frequency Identification (RFID) technology was used to identify customer and garment item automatically. The intelligent procedure for garment coordination recommendation using Artificial Neural Network (ANN) was developed to imitate fashion designers' decision-making on garment coordination. Virtual try-on algorithm based on the customer's 2D image was accomplished using image-warping technique. The system architecture and the software framework were also described. The results show that the system is a practical and useful application for fashion retailers.展开更多
基金National Natural Science Foundations of China (No.60975059, No.60775052)Specialized Research Fund for the Doctoral Program of Higher Education from Ministry of Education of China (No.20090075110002)Projects of Shanghai Committee of Science and Technology, China (No.09JC1400900, No.08JC1400100, No.10DZ0506500)
文摘By modeling the decision-making process of garment coordination of fashion designers,a kind of computer-aid garment coordination using fuzzy neural network was proposed. The Takagi-Sugeno Fuzzy Neural Network (TSFNN) is used to learn the knowledge and rules of fashion designers on garment coordination and calculate the garment coordination satisfaction index (GCSI). The implementation of the computer-aid garment coordination tool is divided into two stages. The first stage is to acquire the knowledge of garment coordination. The second stage is to train and use the fuzzy neural network to conduct garment coordination. Three layers structure were also discussed for developing the system. By applying the computer-aid garment coordination tool into a real fashion-retailing store,the experimental results show the system performs well with choosing a suitable value for screening out the satisfaction coordination pairs.
基金National Nature Science Foundations of China (No.60975059, No.60775052)Specialized Research Fund for the Doctoral Program of Higher Education from Ministry of Education of China (No.20090075110002)Projects of Shanghai Committee of Science and Technology, China (No.09JC1400900, No.08JC1400100, No.10DZ0506500)
文摘Improving customer experience has become a more and more important role in enhancing customer service in fashion retailing business. In this study,a kind of intelligent garment coordination and try-on system for fashion retailing was proposed. Radio Frequency Identification (RFID) technology was used to identify customer and garment item automatically. The intelligent procedure for garment coordination recommendation using Artificial Neural Network (ANN) was developed to imitate fashion designers' decision-making on garment coordination. Virtual try-on algorithm based on the customer's 2D image was accomplished using image-warping technique. The system architecture and the software framework were also described. The results show that the system is a practical and useful application for fashion retailers.
