约翰·霍普金斯公民社会研究中心最新提出的“全球公民社会指数”(Hopkins Global Civil Society Index,GCSI)用以测量全球各个国家的公民社会发育程度。本文介绍了这套指数的建构标准、指标设计、整合方法和基本结论等等,并结合中...约翰·霍普金斯公民社会研究中心最新提出的“全球公民社会指数”(Hopkins Global Civil Society Index,GCSI)用以测量全球各个国家的公民社会发育程度。本文介绍了这套指数的建构标准、指标设计、整合方法和基本结论等等,并结合中国的实际情况,探讨该指标在中国的适用性。展开更多
By modeling the decision-making process of garment coordination of fashion designers, a kind of computer-aid garment coordination using fuzzy neural network was propesed. 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 propesed. 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 fushionretailing store, the experimental results show the system pexforms well with choosing a suitable value for screening out the satisfaction coordination pairs.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 propesed. 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 fushionretailing store, the experimental results show the system pexforms well with choosing a suitable value for screening out the satisfaction coordination pairs.
