{"title":"基于特征和知识的模式识别专家系统","authors":"Guan-Xiong Zhou, Xiao Ping, Yi-Wui Lei, H. Zhou","doi":"10.1109/ICPR.1988.28481","DOIUrl":null,"url":null,"abstract":"An expert system for pattern recognition based on features and knowledge is realized, and the theoretical and practical problems involved are discussed. The system, designed for analysis of geological patterns, has two novel characteristics. First, the system uses both features and knowledge for its analysis; there is some interaction between the two types of data. Secondly, the control strategy is based on an incomplete-reasoning and regression thinking model. The system is realized and proved to be effective.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An expert system for pattern recognition based on features and knowledge\",\"authors\":\"Guan-Xiong Zhou, Xiao Ping, Yi-Wui Lei, H. Zhou\",\"doi\":\"10.1109/ICPR.1988.28481\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An expert system for pattern recognition based on features and knowledge is realized, and the theoretical and practical problems involved are discussed. The system, designed for analysis of geological patterns, has two novel characteristics. First, the system uses both features and knowledge for its analysis; there is some interaction between the two types of data. Secondly, the control strategy is based on an incomplete-reasoning and regression thinking model. The system is realized and proved to be effective.<<ETX>>\",\"PeriodicalId\":314236,\"journal\":{\"name\":\"[1988 Proceedings] 9th International Conference on Pattern Recognition\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988 Proceedings] 9th International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1988.28481\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988 Proceedings] 9th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1988.28481","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An expert system for pattern recognition based on features and knowledge
An expert system for pattern recognition based on features and knowledge is realized, and the theoretical and practical problems involved are discussed. The system, designed for analysis of geological patterns, has two novel characteristics. First, the system uses both features and knowledge for its analysis; there is some interaction between the two types of data. Secondly, the control strategy is based on an incomplete-reasoning and regression thinking model. The system is realized and proved to be effective.<>