{"title":"用于仿真元建模的高斯径向基函数","authors":"Miyoung Shin, Robert G. Sargent, A. Goel","doi":"10.1109/WSC.2002.1172920","DOIUrl":null,"url":null,"abstract":"The paper presents a novel approach for developing simulation metamodels using Gaussian radial basis functions. This approach is based on some recently developed mathematical results for radial basis functions. It is systematic, explicitly controls the underfitting and overfitting tradeoff, and uses a fast computational algorithm that requires minimal human involvement. This approach is illustrated by developing metamodels for the M/M/1 queueing system.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"204 1","pages":"483-488 vol.1"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Gaussian radial basis functions for simulation metamodeling\",\"authors\":\"Miyoung Shin, Robert G. Sargent, A. Goel\",\"doi\":\"10.1109/WSC.2002.1172920\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a novel approach for developing simulation metamodels using Gaussian radial basis functions. This approach is based on some recently developed mathematical results for radial basis functions. It is systematic, explicitly controls the underfitting and overfitting tradeoff, and uses a fast computational algorithm that requires minimal human involvement. This approach is illustrated by developing metamodels for the M/M/1 queueing system.\",\"PeriodicalId\":74535,\"journal\":{\"name\":\"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference\",\"volume\":\"204 1\",\"pages\":\"483-488 vol.1\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WSC.2002.1172920\",\"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 of the ... Winter Simulation Conference. Winter Simulation Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WSC.2002.1172920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Gaussian radial basis functions for simulation metamodeling
The paper presents a novel approach for developing simulation metamodels using Gaussian radial basis functions. This approach is based on some recently developed mathematical results for radial basis functions. It is systematic, explicitly controls the underfitting and overfitting tradeoff, and uses a fast computational algorithm that requires minimal human involvement. This approach is illustrated by developing metamodels for the M/M/1 queueing system.