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    政大機構典藏 > 理學院 > 應用數學系 > 期刊論文 >  Item 140.119/68192
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/68192

    Title: å½±éŸ¿å°ç£SARS疫情擴散之因素分析-以類神經網路及迴歸為預測模式
    Other Titles: A Study of Epidemic Outbreak of SARS in Taiwan by Neural Networks and Regression Models
    Authors: é™¸è¡Œ
    Contributors: æ‡‰æ•¸ç³»
    Keywords: Theoretical Epidemiology;Back-propagation Network;Regression;理論流行病學;倒傳遞網路法;迴歸相關係數
    Date: 2004.12
    Issue Date: 2014-08-05 17:04:03 (UTC+8)
    Abstract: The outbreak of the deadly virus of severe acute respiratory syndrome (SARS) grew drastically in multiple ways of spreading from Southern China to many other countries in November 2002. This paper intends to study of the possible factors that relate to the number of SARS infections in Taiwan by Neural Networks and Regression Models. We investigate the number of new SARS cases by considering confirmed cases, suspected cases, probable cases, people with SARS-like symptoms, and number of infections in neighboring countires of Taiwan in that period. By two different study tools with confirmed analysis, we find that there are several important indices to track the number of new case occurrences, including probable and suspected cases, SARS infections and the number of people in quarantine, etc.
    Relation: æ™ºæ…§ç§‘技與應用統計學報,2(2),49-71
    Data Type: article
    Appears in Collections:[應用數學系] 期刊論文

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