頁籤選單縮合
題 名 | 應用卡門濾波監測生物系統生產反應之變化 |
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作 者 | 廖中明; | 書刊名 | 農業工程學報 |
卷 期 | 39:2 1993.06[民82.06] |
頁 次 | 頁44-51 |
分類號 | 437.11 |
關鍵詞 | 卡門濾波; 生物系統; 生產反應; 監測; 動物生產; Kalman filter; Animal production; Monitor; |
語 文 | 中文(Chinese) |
中文摘要 | 由于生物擾動及因收集、量測與資料處理所衍生錯誤之噪音系統易干擾觀測序列中動物生產反應變化的訊息。這些改變中有些與動物飼養土關心的生物事件有極大的相關,因此,可能需要立即的管理行動。因而能辨識出各種不同改變的形式乃異常重要。本文主要目的為介紹一可做短期預測之遞迴演算技術:卡門濾波,並寫成一BASIC程式以應用在一家企業蛋雞公司之飼料消耗率監測上做為實例之探討。濾波監測結果顯示反應改變趨勢如穩定狀態,斜率改變及暫態反應皆能每日做監測。若早期檢測出反應之改變與正常資料相差甚遠,則管理人員便可立即對動物群做適當的校正行動。本文所應用之卡門濾波監測技術確實可有效地監測生物系統之不正常性。 |
英文摘要 | Changes in biosystems production responses of observed sequences may be masked by noisy system which are due to biological fluctuation and errors arising in the collection, measurement, and data processing. Some of these changes are related to biological events of direct interest and importance for the breeder, which may need immediate managerial intervention. Therefore, it is of prime importance to distinguish among various forms of changes. A recursive algorithm: the Kalman filter, for making short-term predictions, was written in BASIC and applied to feed consumption data of a commercial laying hen flock. The results show that trends such as steady-state, slope changes and transient responses as differentiated from normal data variation allows the manager to make appropriate management adjustment for the flock. This method was found to be efficient in monitoring abnormalities of biosystems. |
本系統中英文摘要資訊取自各篇刊載內容。