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題 名 | 利用複合模式方法識別高爐之動態模式 |
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作 者 | 趙榮澄; 蘇春華; 黃孝平; | 書刊名 | Journal of the Chinese Institute of Chemical Engineers |
卷 期 | 17:3 1986.05[民75.05] |
頁 次 | 頁209-213 |
分類號 | 460.027 |
關鍵詞 | 高爐; 動態; 複合模式方法; |
語 文 | 中文(Chinese) |
中文摘要 | 複合模式方法之識別方法,可由間斷的數位數據,直接獲得隨機程序之連續時間模式。本文提出其參數初估值之一種決定方法,並將複合模式應用於高爐此一多變數隨機程序。以所得模式預測往後輸出變數之變動,並將此預測結果與以前求過之各種時間數列模式比較,結果以複合模式為最優。可見複合模式方法不但適用於複雜之實際程序,且其效果令人滿意。 |
英文摘要 | The hybrid modeling method can identify the continuous-time model of a stochastic process directly from discrete sampled data. In this paper, a method for obtaining the initial guess values of model parameters is proposed. Furthermore, this modeling approach is applied to the multivariable stochastic system of blast furnace. The resulting model is used to predict the future values of output variable. Based on the prediction errors, this model is compared with the other time series models studied previously. Through this comparison, the hybrid model proves to be superior to the other models. Thus the hybrid modeling method is suited for the complicated real processes, and its result is satisfactory. |
本系統中英文摘要資訊取自各篇刊載內容。