{"title":"拉普拉斯方程的两部分解:后端为马尔可夫链的自适应模糊系统前端","authors":"R. Garcia, M. Sadiku","doi":"10.1109/SECON.1998.673350","DOIUrl":null,"url":null,"abstract":"Summary form only given. This paper illustrates the combination of a fuzzy inference system with a Monte Carlo method to solve Laplace's equation. Fuzzy inference systems are found to be widely used in the area of control systems. As a general remark, fuzzy system applications can occur where expert knowledge can be translated into a cognitive set of rules. This tool along with a Monte Carlo method which employs Markov Chains is considered as an effective technique in whole field computation of boundary-value problems.","PeriodicalId":281991,"journal":{"name":"Proceedings IEEE Southeastcon '98 'Engineering for a New Era'","volume":"178 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Two-part solution of Laplace's equation: an adaptive fuzzy system front-end with a Markov chain back-end\",\"authors\":\"R. Garcia, M. Sadiku\",\"doi\":\"10.1109/SECON.1998.673350\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given. This paper illustrates the combination of a fuzzy inference system with a Monte Carlo method to solve Laplace's equation. Fuzzy inference systems are found to be widely used in the area of control systems. As a general remark, fuzzy system applications can occur where expert knowledge can be translated into a cognitive set of rules. This tool along with a Monte Carlo method which employs Markov Chains is considered as an effective technique in whole field computation of boundary-value problems.\",\"PeriodicalId\":281991,\"journal\":{\"name\":\"Proceedings IEEE Southeastcon '98 'Engineering for a New Era'\",\"volume\":\"178 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE Southeastcon '98 'Engineering for a New Era'\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SECON.1998.673350\",\"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 IEEE Southeastcon '98 'Engineering for a New Era'","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.1998.673350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Two-part solution of Laplace's equation: an adaptive fuzzy system front-end with a Markov chain back-end
Summary form only given. This paper illustrates the combination of a fuzzy inference system with a Monte Carlo method to solve Laplace's equation. Fuzzy inference systems are found to be widely used in the area of control systems. As a general remark, fuzzy system applications can occur where expert knowledge can be translated into a cognitive set of rules. This tool along with a Monte Carlo method which employs Markov Chains is considered as an effective technique in whole field computation of boundary-value problems.
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