{"title":"非线性自回归(NARX)模型在太阳能吸附制冷系统吸附床温度预测中的应用","authors":"Fatih Bouzeffour, Benyoucef Khelidj","doi":"10.1007/s11518-023-5578-4","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":17150,"journal":{"name":"Journal of Systems Science and Systems Engineering","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Application of Nonlinear Autoregressive (NARX) Model to Predict Adsorbent Bed Temperature of Solar Adsorption Refrigeration System\",\"authors\":\"Fatih Bouzeffour, Benyoucef Khelidj\",\"doi\":\"10.1007/s11518-023-5578-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":17150,\"journal\":{\"name\":\"Journal of Systems Science and Systems Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2023-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Systems Science and Systems Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s11518-023-5578-4\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"OPERATIONS RESEARCH & MANAGEMENT SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Systems Science and Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11518-023-5578-4","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
期刊介绍:
Journal of Systems Science and Systems Engineering is an international journal published bimonthly. It aims to foster new thinking and research, to help decision makers to understand the mechanism and complexity of economic, engineering, management, social and technological systems, and learn new developments in theory and practice that could help to improve the performance of systems.
The Journal publishes papers that address the theory, methodology and applications relating to systems science and systems engineering; applications and practical experience of systems engineering in various fields of industry, agriculture, service sector, environment, finance, operating management, E-commerce, logistics, information systems. Technical notes solving practical problems and reviews are also welcome.