{"title":"Neural network and fuzzy database for power electronic design automation","authors":"Y.C. Liang, H. Yee, V. Gosbell","doi":"10.1109/IECON.1990.149293","DOIUrl":null,"url":null,"abstract":"An artificial neural network-based circuit design automator (CDA) and a fuzzy-set-based database are proposed to assist in the design of power electronic circuits. The CDA is capable of carrying out a preliminary, approximate circuit design prior to the use of circuit simulation, thus reducing the total design time. Snubber design has been carried out for two cases to demonstrate system performance. A fuzzy database has also been developed which contains fuzzy, nonfuzzy, and alphabetical records to bridge the gap, when searching for components, between the results obtained from circuit simulation and the data provided by manufacturers. The records in the database can be retrieved either fuzzily or exactly.<<ETX>>","PeriodicalId":253424,"journal":{"name":"[Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.1990.149293","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An artificial neural network-based circuit design automator (CDA) and a fuzzy-set-based database are proposed to assist in the design of power electronic circuits. The CDA is capable of carrying out a preliminary, approximate circuit design prior to the use of circuit simulation, thus reducing the total design time. Snubber design has been carried out for two cases to demonstrate system performance. A fuzzy database has also been developed which contains fuzzy, nonfuzzy, and alphabetical records to bridge the gap, when searching for components, between the results obtained from circuit simulation and the data provided by manufacturers. The records in the database can be retrieved either fuzzily or exactly.<>