{"title":"人工智能技术在冠状动脉疾病检测中的比较研究","authors":"R. Jain, J. Mazumdar, W. Moran","doi":"10.1109/ETD.1995.403483","DOIUrl":null,"url":null,"abstract":"This paper presents a comparative study of expert system, fuzzy logic and neural networks in the detection of coronary artery disease. It is evident from this study that expert systems can be useful in training and providing expert assistance to the user. Fuzzy logic simplifies the knowledge base in the system. Neural networks are faster and have generalisation capability.<<ETX>>","PeriodicalId":302763,"journal":{"name":"Proceedings Electronic Technology Directions to the Year 2000","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A comparative study of artificial intelligent techniques in the detection of coronary artery disease\",\"authors\":\"R. Jain, J. Mazumdar, W. Moran\",\"doi\":\"10.1109/ETD.1995.403483\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a comparative study of expert system, fuzzy logic and neural networks in the detection of coronary artery disease. It is evident from this study that expert systems can be useful in training and providing expert assistance to the user. Fuzzy logic simplifies the knowledge base in the system. Neural networks are faster and have generalisation capability.<<ETX>>\",\"PeriodicalId\":302763,\"journal\":{\"name\":\"Proceedings Electronic Technology Directions to the Year 2000\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Electronic Technology Directions to the Year 2000\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETD.1995.403483\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Electronic Technology Directions to the Year 2000","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETD.1995.403483","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparative study of artificial intelligent techniques in the detection of coronary artery disease
This paper presents a comparative study of expert system, fuzzy logic and neural networks in the detection of coronary artery disease. It is evident from this study that expert systems can be useful in training and providing expert assistance to the user. Fuzzy logic simplifies the knowledge base in the system. Neural networks are faster and have generalisation capability.<>
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