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頁籤選單縮合
題名 | Fuzzy-genetic Procedure for Change Points Detection=模糊統計程序應用於轉折點偵測 |
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作者 | 鄭舜仁; 林順德; |
期刊 | 復興學報 |
出版日期 | 19991200 |
卷期 | 1999.12[民88.12] |
頁次 | 頁135-143 |
分類號 | 312.2 |
語文 | eng |
關鍵詞 | 轉折點; 模糊熵; 人工智慧; 決策法則; Change points; Fuzzy entropy; Genetic algorithm; Decision making; |
中文摘要 | 本文在探討時間序列轉折點的偵測程序, 我們結合了統計檢定與模糊理論的最新 觀念。在偵測程序過程中,我們藉應用模糊邏輯推論提出了幾個實用演算法則。 |
英文摘要 | The problem to detect and to identify changes in statistical models arises in many applications, such as economic modeling, quality control, finance, biology, meteorology and ecology. Instead of merely trying to detect a turning point, in this paper, I construct several fuzzy procedures based on new statistics and AI concept for different case. Change in means and change in variances are investigated. I present the use of fuzzy genetic algorithms for inducing fuzzy rule bases within the context of decision. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。