預習時間 的英文怎麼說

中文拼音 [yùxíshíjiān]
預習時間 英文
preparation
  • 預 : Ⅰ副詞（預先; 事先） in advance; beforehand Ⅱ動詞（參與） take part in
  • 時 : shí］Ⅰ名1 （比較長的一段時間）time; times; days:當時at that time; in those days; 古時 ancient tim...
  • 間 : 間Ⅰ名詞1 （中間） between; among 2 （一定的空間或時間里） with a definite time or space 3 （一間...
  • 預習 : prepare lessons before class
  • 時間 : time; hour; 北京時間十九點整19 hours beijing time; 上課時間school hours; 時間與空間 time and spac...
  1. Therefore the existing budget accounting regulation needs be perfected deeply very much. in this background, originating from headspring of budget accounting this thesis analyses the existing problem of working and compares some correlative item between china and america. thus give the reformation of budget accounting regulation some advices in the end

    我國預算會計改革是一個龐大復雜的研究課題，本文只是筆者的一家之言、一孔之間，且由於時間倉促，加之水平有限，文中錯誤之處在所難免，希望各位老師和同學們不吝指正，筆者也會在今後的學習和工作中繼續關注、研究和完善。
  2. First applying physical education learning strategy pre - test measurement table on 372 university students, through the steps of exploratory element analysis and each individual table ' s item analysis, then the result showed the learning strategues were composed of five elements including " learning attitude ", " information processing ", " emotion control ", " time management ", and " exam preparation ", the formal measurement table was made up by 27 questions in total

    先以體育學習策略預試量表對372位大學生施測后，經探索性因素分析與各分量表項目分析等方法，結果顯示體育學習策略由五個因素構成，包含學習態度、訊息處理、情緒控制、時間管理、考試準備，計有27題成為正式量表。
  3. Ridge regression learning in esn for chaotic time series prediction

    嶺回歸學習演算法及混沌時間序列預測
  4. Self - control and do not spend too much time on internet activity. you may have other physical activities, homework and studying

    應保持高度自我約束，不要花太多的時間在網際網路上的活動。預留時間溫習功課及進行一些健體運動。
  5. The kanerva ' s sparse distributed memory ( sdm ) tackles the problem of training large data patterns and extendes the storage mode of existing computer. but it ' s address array produced randomly ca n ' t reveal the distribution of patterns and it has ' t the ability of function approximation for its learning rule

    Kanerva的稀疏分佈存儲（ sdm ）模型解決了大維數樣本的訓練問題，推廣了現有計算機的存儲方式。但其地址矩陣的隨機預置方式不能反映樣本的分佈，並且sdm的學習方式使之不能用於函數逼近及時間序列預測問題。
  6. Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given

    本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足，然後針對人工神經網路bp演算法的不足對其進行了改進，採用了基於擬牛頓的自適應演算法，它提高了網路學習效率，具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。
  7. Because of the use of prefabricated language chunks, the processes of the short - time memories to long - time speed up, and the learners ' communicative competence and sla competence can be improved

    使用預制語塊加速了短時記憶轉化為長時間記憶的過程，提高了學習者的語言交際能力和二語習得能力。
  8. And that, while the training samples is few and there is random error, ann is much better than ordinary statistical models. generally speaking, while the tourism demand statistical data is for a short period time, and tourism demand is disturbed by many unpredictable factors, ann is a more superior model

    一般而言，旅遊需求統計數據時間較短（也就是說可供「學習」的訓練樣本小） ，而且旅遊需求還受到眾多不可預知因素的干擾，所以在進行旅遊需求預測時用神經網路是一個比較優越的模型分析方法。
  9. In this approach, the concentration and development trend of gases dissolved in transformer oil are predicted primarily using gm ( 1, 1 ) model, and then the predicted results are calibrated by self - learning bp - neural networks with calibrated parameters obtained by analyzing the interaction of different types of gases and the relationship between the time sequences of gas concentrations

    此法是利用gm （ 1 ， 1 ）模型初步預測油中溶解氣體的濃度及變化趨勢，通過分析故障氣體組分之間的影響及氣體濃度時間序列之間的關系確定修正參數，將初步預測結果與修正參數作為自學習bp網路的輸入，從而完成預測結果的在線修正。
  10. At last the paper uses fully learning data according celts, constructs theory and methord of implementing system. the theory has two aspects : gives imprecise learning methords using rules when sequencing initially, such as introducing, narrating emphases and so on ; during the process of learning, we construct a fuzzy evaluating model using the data of scores, learning time and browsing times, and adjust scores with learning objects. then we can inference more precice learning strategy based on the result of evaluation, such as searching previous knowledge units, learning current knowledge units repeatly

    該原理主要體現在兩個方面：一是在初始編列時，根據規則的匹配與調用可以實現較為粗略的教學方法指導，如一般性介紹、重點講述等；二是在過程導學當中，針對最具代表性的測驗成績、學習時間、瀏覽次數的學習效果和行為，結合學習者的預期學習目標等因素進行適當的成績調整、時間改進等處理，並運用模糊綜合評判的方法對學習者實施有效評價，以推理出在學習過程中較為細化的教學建議，如搜索前驅知識單元、重新學習當前知識單元等。
  11. Can he continue to progress ? will he listento coaches, enhance his on - court knowledge and work on his game beyond theregularly scheduled practice hours

    他還能繼續進步嗎？他還會繼續聽教練的話，增加他在賽場上的經驗，完成他預定的賽場外練習時間嗎？
  12. During this course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time - series analysis and prediction

    課程期間我們將檢視數種學習技巧在一些領域上的應用如電腦視覺、電腦繪圖、數據庫搜索和時間數列分析與預測。
  13. “ from / year / month to / year / month ” ： the column of duration of study shall begin from the initiative study in china to the time of graduation （ same as in the admission notice ）

    期限為年月至年月」欄：應從來華時間開始計算至預定的學業結束時間（同《錄取通知書》上註明的在華學習起止時間一致） 。
  14. Time series short - term prediction model and long - term prediction model based on the proposed method are developed respectively, and the corresponding learning algorithms are given

    就時間序列的短期預測和長期預測問題分別應用該方法建立了兩種預測模型，並給出了相應的學習演算法。
  15. They were also updated with the techniques and concepts for improving forecasting for setting length of stay controls, of overbooking, of managing groups and of managing prices through lectures, discussions and hands - on exercises

    透過講座、研討和實習，參加者亦獲得最新的技能和觀念，幫助他們為機構制定新策略，務求更準確地預測旅客逗留時間，訂房情況及價格管理。
  16. All the urban logistics requirements are forecasted by the method of time sequence deduce and muti - factors stepwise linearity regression, including volume of freight, configuration of goods, organize volume of freight, distributable volume of freight and its distributing. according to all the forecast result and other conditions, such as transportation and so on, the layout of beijing distribution parks are made certain, and the scale of each distribution park is calculated in use of space - time consume method. at last, a suitable investment, construction and operation system of beijing distribution park is advised on the reference of developed country experiences

    在對物流節點的概念、功能、作用、分類、層次總結和概括的基礎上，結合物流的發展趨勢和大中城市的實際，分析了規劃物流園區的必要性；提出了城市物流需求預測技術路線后，運用時間序列第推、多元逐步線性回歸等科學方法，對北京的貨運量、貨物結構、組織量和適站量、適站量的方向性等物流需求做了預測；學習借鑒國外物流園區選址的經驗，根據貨物適站量方向性預測、北京市的交通體系等實際情況，確定了北京物流園區布局；把不同方向特徵年貨物適站量合理的分配到相應的物流園區中，運用時空消耗法確定了各個物流園區的規模；在對每個物流園區逐一分析后，借鑒國外的經驗，提出了適合北京的物流園區投資、建設、運營機制。
  17. Certificate : a qualification that could be achieved in a relatively short period or through a low level study, and is widely used in many occasions such as certificate of foundation studies, certificate in horticulture, and certificate in commerce etc

    學業證書:指通過相對短的時間或較低水平的學習而取得的文憑，適用於很多情形如預科證書，園藝證書和商務證書等）
  18. As far as the nonstationarity during the long period operation of machinery was concerned, the application of adaptive linear element ( adaline ) neural network to prediction of nonstationary time series was studied. the relationship between adaline and auto regressive ( ar ) model was analyzed, and the method to determine the number of input neurons in adaline prediction model according to bic criteria was presented. the effect of the adaptive learning rate on prediction was also analyzed

    針對生產實踐中設備運行的非平穩性，基於動態預測思想，研究了非平穩時間序列的自適應線性單元（ adaline ）神經網路預測，討論了adaline和自回歸（ ar ）模型之間的關系，提出根據ar模型定階方法確定adaline預測模型的輸入神經元數目，分析了自適應學習率對預測性能的影響，為機械設備狀態預測提供了一種方法。
  19. Approximate or typical time it takes to work with or through this learning object for the typical intended target audience

    ：一般預期目標受眾使用或完成該學習對象所花費的大約時間或通常時間。
  20. Aimed at the character of the agriculture system, the least squares support vector machine prediction model is given based on the principle of the statistical learning theory and structural risk minimization

    針對農業生產系統的特徵，在統計學習理論和結構風險最小化原理的基礎上，建立了基於最小二乘支持向量機的時間預測模型。
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