Prediction of polypropylene business strategy for a petrochemical plant using a technique for order preference by similarity to an ideal solution‐based artificial neural network
{"title":"Prediction of polypropylene business strategy for a petrochemical plant using a technique for order preference by similarity to an ideal solution‐based artificial neural network","authors":"Akash Singh, P. Majumder, U. Bera","doi":"10.1002/pen.25909","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":20308,"journal":{"name":"Polymer Engineering & Science","volume":"2015 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Polymer Engineering & Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/pen.25909","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
