文化大學機構典藏 CCUR:Item 987654321/2753
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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/2753


    题名: A self-tuning emergency model of home network environment
    作者: Lee, Huey-Ming;Liao, Shih-Feng;Lee, Tsang-Yean;Hsu, Mu-Hsiu;Su, Jin-Shieh
    贡献者: 資管系
    日期: 2006
    上传时间: 2009-11-20 11:32:15 (UTC+8)
    摘要: In this paper, we proposed a self-tuning emergency model of home network environment (SEMHNE). This model can not only tune the scaling factors and membership functions to fit the home network environment but also detect the emergency events automatically. There are three modules in this model, namely, emergency report module (ERM), renewable emergency rule base (RERB), and evolutionary database (EDB). ERM determines the emergency situations by fuzzy inferences and sends the warning message to the users. RERB can provide rules to ERM for inference. EDB can do self-tuning by using genetic algorithm and provide information to ERM for inference. Via this model, our home network environment will become more reliable and safety.
    關聯: ADVANCES IN APPLIED ARTIFICIAL INTELLIGENCE, PROCEEDINGS Book Series: LECTURE NOTES IN COMPUTER SCIENCE Volume: 4031 Pages: 1111-1118
    显示于类别:[資訊管理學系暨資訊管理研究所 ] 期刊論文

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