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頁籤選單縮合
題名 | Parameter Identification Using Bayes and Kernel Approaches=利用貝氏法及核心法從事參數辨別 |
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作者 | Kulczycki,Piotr; |
期刊 | Proceedings of the National Science Council : Part A, Physical Science and Engineering |
出版日期 | 19990300 |
卷期 | 23:2 1999.03[民88.03] |
頁次 | 頁205-213 |
分類號 | 319.9 |
語文 | eng |
關鍵詞 | 貝氏法; 參數辨別; 核心估測技巧; Parameter identification; Point estimation; Bayes approach; Kernel estimator; Numerical algorithm; |
中文摘要 | 本論文利用貝氏法來從事參數辨別[點估計]的工作,其計算過程則運用所謂核心 估測技巧。根據上述之考量,我們提出一個完整的參數估測演算法則。完整的數值運算方法, 可運用於即時系統的數值運算工作。 |
英文摘要 | This paper deals with the task of parameter identification (point estimation) using the Bayes approach. The calculation procedures are based on the kernel estimators technique. As a result of presented considerations, a complete algorithm usable for obtaining the value of the estimated parameter is worked out. An elaborated method is provided for numerical computations, including computer systems working in the real-time regime. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。