中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Instant modelling and data-knowledge processing by reconstructability analysis

文献类型:期刊论文

作者Shu, GF
刊名KYBERNETES
出版日期2004
卷号33期号:5-6页码:984-991
关键词cybernetics information modelling
ISSN号0368-492X
DOI10.1108/03684920410534029
英文摘要This paper first reviews factor reconstructability analysis (RA) modelling completely by data. Gives a description of levelled variable factor reconstruction analysis model generation process and its further extension to forecasting, evaluation and optimisation. It introduces RA modelling with multi-vatiety information and knowledge. From generation of mixed variable R,4 models to generation of models with both data and knowledge, the paper gives a related table and a figure on "Information flow of reconstructability analysis with multi-variety information and knowledge" which included database, RA relational knowledge base, and interfaces for input of experts' knowledge. Finally, it gives some examples and prospects.
语种英语
WOS记录号WOS:000222451700010
出版者EMERALD GROUP PUBLISHING LIMITED
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/19675]  
专题中国科学院数学与系统科学研究院
通讯作者Shu, GF
作者单位Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Shu, GF. Instant modelling and data-knowledge processing by reconstructability analysis[J]. KYBERNETES,2004,33(5-6):984-991.
APA Shu, GF.(2004).Instant modelling and data-knowledge processing by reconstructability analysis.KYBERNETES,33(5-6),984-991.
MLA Shu, GF."Instant modelling and data-knowledge processing by reconstructability analysis".KYBERNETES 33.5-6(2004):984-991.

入库方式: OAI收割

来源:数学与系统科学研究院

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