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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/41980

    Title: 軟性計算理論與知識處理技術之研究
    Authors: 林信成
    Contributors: 淡江大學資訊與圖書館學系
    Keywords: 軟性計算理論;知識處理技術;知識管理;Modern knowledge engineering;Soft eomputing theory;Knowledge processing technology
    Date: 2000-12
    Issue Date: 2010-01-28 13:20:40 (UTC+8)
    Abstract: Knowledge is the essential element of human thoughts. Creating an artificial system with knowledge and intelligence. furthermore , has been one of the humankind's long-term visions. The computer has been the smartest machine ever since human history in technology began. Therefore, people attempted to use computer to realize human intelligencc such as thinking, reasoning, learning. However, it always encountered numerous bottlenecks. The operating model of a computer is absolutely different from that in human brain. The computer is superior to human brain by its computing ability. But the computer loses its efficiency in conceptualizing, thinking, reasoning and distinguishtng. The soft computing theory is developed to make a connection between machine intelligence and human brain. With such a theory, researchers on knowledge engineering can transfer the minding process, recognition structure and learning procedure of human into mathematical models. Then, they could work on any kinds of analysis, designing, simulation and experiments systematically. By doing so, the knowledge processing ability of artificial intelligent system can be improved and enhanced. This paper is focused on the integration issues of soft computing theory. It discusses the application potential of soft computing in the fields of machine thinking, machine recognizing, and machlne learning. In addition, it also anatomizes the role of knowledge processing technologies that based on soft computing theory play in modern knowledge engineering.
    Relation: 教育資料與圖書館學 38(2),頁148-173
    Appears in Collections:[Graduate Institute & Department of Information and Library Sciences] Journal Article

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