非遞歸文法 的英文怎麼說

中文拼音 [fēiguīwén]
非遞歸文法 英文
non recursive grammar
  • : Ⅰ名詞1 (錯誤) mistake; wrong; errors 2 (指非洲) short for africa 3 (姓氏) a surname Ⅱ動詞1 ...
  • : Ⅰ動詞(傳送;傳遞) hand over; pass; give Ⅱ副詞(順著次序) in the proper order; successively
  • : Ⅰ動詞1 (返回) return; go back to 2 (還給; 歸還) return sth to; give back to 3 (趨向或集中於...
  • : Ⅰ名詞1 (字) character; script; writing 2 (文字) language 3 (文章) literary composition; wri...
  • : Ⅰ名詞1 (由國家制定或認可的行為規則的總稱) law 2 (方法; 方式) way; method; mode; means 3 (標...
  • 文法 : grammar文法學 grammar
  1. ( 4 ) with the help of the experimental samples, a drnn identifier is trained off - line utilizing the compound identification method. the nonlinear dynamic model is achieved for the experimental mechanism

    4 .在系統辨識方面,本以實驗輸入輸出數據作為訓練樣本,採用復合辨識方離線設計了動態神經網路辨識器,獲得了彈性連桿機構的線性動力學模型。
  2. ( 6 ) this dissertation makes a detailed study of the nn based adaptive control of nonlinear dynamic systems. two types of drnn controllers are designed using the experimental samples, which are named the open - loop controller and the close - loop controller respectively. the experimental mechanism is controlled on - line by means of the nn based direct self - tuning control strategy and the nn based indirect adaptive control strategy

    6 .本對基於神經網路的線性動態系統自適應控制方進行了深入研究,利用實驗輸入輸出數據離線設計了動態神經網路開環、閉環控制器,並分別採用基於神經網路的直接自校正控制方與基於神經網路的間接自適應控制方對彈性連桿機構實施了在線控制。
  3. Usage would include tasks like recursively searching files for virus patterns, searching databases for keys or data, text and word processing and any other task that requires handling large amounts of data at very high speed

    這種演算的用途包括採用方式搜索件中的病毒字元串,在數據庫中搜索關鍵字或數據,本和單詞的處理,還有其他要求常高速地處理大量數據的場合。
  4. Trend prediction and fault diagnosis tech., etc. the information intelligent processing technology facing the application is presented as an emphasis. after introducing the development situation and the whole pattern on related fields, this paper describes several algorithm applied in the simulation experiment, including direct multi - steps nonlinear autoregressive - moving average ( narma ) prediction model based on diagonal recurrent neural networks and fuzzy neural networks model based on generalized probability sum ( gps ) and generalized probability product ( gpp ), and lists the algorithm steps facing the application

    作為重點,本辟用了較大的篇幅討論面向應用(主要是趨勢預測與故障診斷)的集成智能信息處理技術,在介紹相關領域的發展情況和總體格局之後,重點闡述了幾種基於神經網路的智能演算,包括基於對角神經網路( drnn )的直接多步線性自回滑動平均( narma )預測模型,以及基於廣義概率和( gps )與廣義概率積( gpp )兩種運算元的模糊神經網路模型,給出了它們的詳細演算及面向應用的運算步驟。
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