一个分析方法推荐系统的原型

M. Maloof
{"title":"一个分析方法推荐系统的原型","authors":"M. Maloof","doi":"10.1109/SECON.1992.202397","DOIUrl":null,"url":null,"abstract":"A promising application of knowledge-based systems is that of prescribing the most appropriate analytical method for a given situation. The Analytical Method Recommendation System (AMRS) services an entire laboratory containing several analytical instruments. It assists the inexperienced analytical chemist and permits technicians to become more independent from managing chemists. AMRS presently exists as an early prototype. The author discusses the knowledge acquisition methodology and design issues. Brief descriptions of current system performance and future directions are included.<<ETX>>","PeriodicalId":230446,"journal":{"name":"Proceedings IEEE Southeastcon '92","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AMRS: a prototype of an analytical method recommendation system\",\"authors\":\"M. Maloof\",\"doi\":\"10.1109/SECON.1992.202397\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A promising application of knowledge-based systems is that of prescribing the most appropriate analytical method for a given situation. The Analytical Method Recommendation System (AMRS) services an entire laboratory containing several analytical instruments. It assists the inexperienced analytical chemist and permits technicians to become more independent from managing chemists. AMRS presently exists as an early prototype. The author discusses the knowledge acquisition methodology and design issues. Brief descriptions of current system performance and future directions are included.<<ETX>>\",\"PeriodicalId\":230446,\"journal\":{\"name\":\"Proceedings IEEE Southeastcon '92\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE Southeastcon '92\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SECON.1992.202397\",\"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 '92","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.1992.202397","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

基于知识的系统的一个有前途的应用是为给定的情况规定最适当的分析方法。分析方法推荐系统(AMRS)服务于包含若干分析仪器的整个实验室。它有助于没有经验的分析化学家,并允许技术人员变得更加独立于管理化学家。AMRS目前作为早期原型存在。作者讨论了知识获取的方法和设计问题。简要描述了当前系统的性能和未来的发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AMRS: a prototype of an analytical method recommendation system
A promising application of knowledge-based systems is that of prescribing the most appropriate analytical method for a given situation. The Analytical Method Recommendation System (AMRS) services an entire laboratory containing several analytical instruments. It assists the inexperienced analytical chemist and permits technicians to become more independent from managing chemists. AMRS presently exists as an early prototype. The author discusses the knowledge acquisition methodology and design issues. Brief descriptions of current system performance and future directions are included.<>
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信