{"title":"基于自适应模糊神经网络的服装舒适度评价模型","authors":"Heng Du, Ruomei Wang, Daiguo Deng, Yu Liu","doi":"10.1109/ICDH.2012.81","DOIUrl":null,"url":null,"abstract":"In order to improve the predictive precision and adaptability of the garment pressure evaluation model, we presented a dynamic evaluation model based on adaptive fuzzy neural network. In this paper, according to analysis of characteristics and limitations of the existing models, we present our model, and the final verify result showed that our method can significantly improve the evaluation quality of the clothing pressure comfort.","PeriodicalId":308799,"journal":{"name":"2012 Fourth International Conference on Digital Home","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Clothing Comfort Evaluation Model Based on Adaptive Fuzzy Neural Network\",\"authors\":\"Heng Du, Ruomei Wang, Daiguo Deng, Yu Liu\",\"doi\":\"10.1109/ICDH.2012.81\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to improve the predictive precision and adaptability of the garment pressure evaluation model, we presented a dynamic evaluation model based on adaptive fuzzy neural network. In this paper, according to analysis of characteristics and limitations of the existing models, we present our model, and the final verify result showed that our method can significantly improve the evaluation quality of the clothing pressure comfort.\",\"PeriodicalId\":308799,\"journal\":{\"name\":\"2012 Fourth International Conference on Digital Home\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth International Conference on Digital Home\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDH.2012.81\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Digital Home","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDH.2012.81","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Clothing Comfort Evaluation Model Based on Adaptive Fuzzy Neural Network
In order to improve the predictive precision and adaptability of the garment pressure evaluation model, we presented a dynamic evaluation model based on adaptive fuzzy neural network. In this paper, according to analysis of characteristics and limitations of the existing models, we present our model, and the final verify result showed that our method can significantly improve the evaluation quality of the clothing pressure comfort.
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