{"title":"基于模糊图递归神经网络的电火花加工径向过切综合预测方法","authors":"A. R. Jena, D. Acharjya, Raja Das","doi":"10.1504/ijes.2021.10033353","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":45480,"journal":{"name":"International Journal of Embedded Systems","volume":"1 1","pages":"1"},"PeriodicalIF":0.5000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An integrated approach for prediction of radial overcut in electro-discharge machining using fuzzy graph recurrent neural network\",\"authors\":\"A. R. Jena, D. Acharjya, Raja Das\",\"doi\":\"10.1504/ijes.2021.10033353\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":45480,\"journal\":{\"name\":\"International Journal of Embedded Systems\",\"volume\":\"1 1\",\"pages\":\"1\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Embedded Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijes.2021.10033353\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Embedded Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijes.2021.10033353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
期刊介绍：
With the advent of VLSI system level integration and system-on-chip, the centre of gravity of the computer industry is now moving from personal computing into embedded computing. Embedded systems are increasingly becoming a key technological component of all kinds of complex technical systems, ranging from vehicles, telephones, audio-video-equipment, aircraft, toys, security systems, medical diagnostics, to weapons, pacemakers, climate control systems, manufacturing systems, intelligent power systems etc. IJES addresses the state of the art of all aspects of embedded computing systems with emphasis on algorithms, systems, models, compilers, architectures, tools, design methodologies, test and applications.
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