非最佳網路 的英文怎麼說

中文拼音 [fēizuìjiāwǎng]
非最佳網路 英文
non-optimum network
  • : 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 ...
  • : 副詞(表示某種屬性超過所有同類的人或事物) most; best; worst; first; very; least; above all; -est
  • : Ⅰ名詞1 (捕魚捉鳥的器具) net 2 (像網的東西) thing which looks like a net 3 (像網一樣的組織或...
  • : 1 (道路) road; way; path 2 (路程) journey; distance 3 (途徑; 門路) way; means 4 (條理) se...
  • 最佳 : the best; optimum
  • 網路 : 1. [電學] network; electric network2. (網) meshwork; system; graph (指一維復形); mesh
  1. First, it applies fuzzy logical in the abstract and non - linear dealing ability ; second, it applies neural net in the self - study and any functions approaching ability ? through combining above two ability, it can find a best p i d non - linear controlling regularity and achieve controlling on line of the unknown subject etco therefore, it not only can strengthen robust and intelligence of the system, but also make design simple and easily be requiredo in addition, the thesis also does many works on procedure of upper - computer and basic - controller and the whole system designed can be put into work immediately

    根據啤酒發酵過程具有大慣性、時滯和線性等特點,本論文還提出一種基於神經的模糊自適應pid控制方案,它一方面利用模糊邏輯的「概念」抽象能力和線性處理能力,另一方面利用神經的自學習能力和任意函數的逼近能力,通過兩者的有機結合尋找一個的p 、 i 、 d線性組合控制規律,以實現對未知對象進行在線控制,並具備適應控制環境變化的能力和自學習能力等。
  2. The program of data processing in determination of percent released of pharmaceutical preparation was developed ; two modules included in this program are connected but independence each other, one module calculate percent released, one module regress equation ; determination of percent released of pharmaceutical preparation, comparison of released curve in one reference frame and modeling mathematics model were realized by running this program. the program of formulation optimization based on artificial neural network was compiled to solve the nonlinear problem in formulation optimization. provided parameters were used to predict the released amount of a set of formulations

    簡便,其計算結果與現有其他程序計算結果基本一致:開發固體制劑體外溶出試驗數據處理程序,程序運行時分為計算累積釋放百分率和優選數學模型兩個相互連接又各自獨立的環節,實現了累積釋放百分率的自動計算,同一坐標系下釋放曲線的直觀比較,常用數學模型的擬合;開發基於人工神經的處方優化系統,解訣處方優化這一多目標、線性優化問題,利用符合擬合精度的訓練結果預測給定處方的釋放度,預測結果與實驗結果基本相近。
  3. In order to select the optimum one from those function - satisfied web services, a non - functional conditions - based method was proposed based on fuzzy analytic hierarchy process ( fahp )

    摘要為了從服務中選擇服務,在模糊層次分析法的基礎上,提出了一個適合於服務自動化的、基於功能性條件約束的服務選擇方法。
  4. Cyber security tips target non - technical and corporate computer users. security best practices and “ how - to ” information is free to help protect home and business networks

    安全小建議以技術類家庭和公司計算機用戶為對象。安全實踐和「怎樣」信息免費幫助保護家庭和商業
  5. On the other hand, if your published objects are very large, passing an entire copy around a busy network might not be the best choice for your application

    另一方面,如果發布的對象常大,那麼在繁忙的上傳遞整個副本對于應用程序來說可能不是的選擇。
  6. The adoption of a fuzzy neural network control strategy that features satisfactory ability of self - learning and nonlinear approaching. the charging current traces dynamically the battery - dependent acceptable curves to maintain the charging process under optimal status

    -採用具有良好自學習能力和線性逼近能力的模糊神經控制策略,使充電電流動態跟蹤離散的可接受充電曲線,使充電過程始終在狀態下進行。
  7. Consider the best method of distribution e. g. papercopy or email of electronic file or web posting followed by an email notice ; uploading to the internet has become a very popular method but it is essential to ensure that the web report is fully accessible and readable based on any technicalor it constraints

    可考慮的分發方法如派發印刷本透過電郵傳送電子檔案或發出電郵通知后傳送上郵件上載報告至供瀏覽者查閱是現時常通行的分發方式,但必須確保上報告不受任何技術或資訊科技限制,完全可供讀者存取及閱讀
  8. Modeling tools and techniques include linear, network, discrete and nonlinear optimization, heuristic methods, sensitivity and post - optimality analysis, decomposition methods for large - scale systems, and stochastic optimization

    模型建立工具和方法涵蓋線性、、離散和線性化,啟發式方法,靈敏度分析,事後化分析,大規模系統的分解方法和隨機化。
  9. The simulation result show, this speech enhancement system design method, not only realizes simply, but also saves the running time, the speech enhancement effect is good. thirdly, this article discusses a new method of speech enhance based on neural network. mfcc coefficient of the speech signal can be picked up under noise and

    用於bp神經的訓練和學習,利用神經系統具有線性映射和自學習,能夠用於噪聲信號的線性建模的能力,獲取信號的估計,克服信號處理中存在的不確定性,終達到語音信號消噪和提高可懂度的目的。
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