{"title":"Computer-assisted selection/development of electrical insulating materials by use of Artificial Intelligence","authors":"W-F. A. Su, A. Grosset, A. Barrett","doi":"10.1109/EIC.1985.7458602","DOIUrl":null,"url":null,"abstract":"This Artificial Intelligence program, combined with a computerized data base, comprises an expert system for the selection/development of wire enamels and other electrical insulating materials. This program could be an indispensable tool and aid for the scientist, freeing him from the necessity of redundant experimentation, due to the vast network of information sharing and the system's ability to suggest promising pathways. This artificial intelligence approach would provide the scientist with sophisticated modeling and complex interactive simulation of chemical reactions and physical properties of potentially useful materials, which would be exceptionally rapid, efficient and cost-effective. Modeling of materials through techniques of artificial intelligence differs from prior computer modeling by creating a unique, accurate conceptual representation of a specific material, as opposed to statistical and purely numerical methods.","PeriodicalId":188957,"journal":{"name":"1985 EIC 17th Electrical/Electronics Insulation Conference","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1985-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1985 EIC 17th Electrical/Electronics Insulation Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIC.1985.7458602","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
This Artificial Intelligence program, combined with a computerized data base, comprises an expert system for the selection/development of wire enamels and other electrical insulating materials. This program could be an indispensable tool and aid for the scientist, freeing him from the necessity of redundant experimentation, due to the vast network of information sharing and the system's ability to suggest promising pathways. This artificial intelligence approach would provide the scientist with sophisticated modeling and complex interactive simulation of chemical reactions and physical properties of potentially useful materials, which would be exceptionally rapid, efficient and cost-effective. Modeling of materials through techniques of artificial intelligence differs from prior computer modeling by creating a unique, accurate conceptual representation of a specific material, as opposed to statistical and purely numerical methods.