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題 名 | A Fuzzy Inference Engine with Various Updating Gains to Estimate AC Skin Parameters=利用各類更新增益之模糊推論機去估計交流膚參數 |
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作 者 | 張保榮; | 書刊名 | 高苑學報 |
卷 期 | 6:1 1997.02[民86.02] |
頁 次 | 頁441-448 |
分類號 | 448.537 |
關鍵詞 | 模糊推論機; 交流膚參數; |
語 文 | 英文(English) |
中文摘要 | 一種以倒向傳遞神經網路為基礎的神經計算去估計交流膚參數。在以往執行效果 相當不錯;更進一步,在本文中我們提出另一種方法稱為模糊推論機,它執行交流膚參數的 計算比傳統方式來得快。一般而言,如何去決定一種更新增益給模糊系統,來配合被指定某 類的問題是件不易的工作。因此,我們提出各類更新增法則給此種模糊系統去計算交流膚參 數。 然後,我們檢查電腦模擬結果,它們結果皆相當一致,而且各類相對誤差皆落在 5 % 之內。但是,各類方法的估計皆比單一增益方法速度快 3 倍。 |
英文摘要 | A neurocomputation for the direct estimation of AC skin parameters based on the back-propagation neural net has performed very well in our previous work. Moreover, in this paper we proposed the alternative method, the fuzzy inference, whose computation is also faster than conventional methods on the AC skin parameters estimation. In general, deciding whether to use a specified updating gain in the fuzzy system on a particular problem is not easy. Therefore, we present the various updating algorithms for this fuzzy system to compute AC skin parameters. Then, we checked the computer simulation results that every estimate calculated from every corresponding updating algorithms are almost the same accuracy, and the relative error of each estimate with respect to each corresponding parameter is within 5%. However, the amount of the computation time in unit gain updating process is about 3 times longer than the others. |
本系統中英文摘要資訊取自各篇刊載內容。