累進可除數 的英文怎麼說

中文拼音 [lěijìnkěchúshǔ]
累進可除數 英文
polydivisible number
  • 累 : 累Ⅰ形容詞（疲勞） tired; fatigued; weary Ⅱ動詞1. （使疲勞; 使勞累） tire out; wear out 2. （操勞） work hard; toil
  • 進 : 進構詞成分。
  • 除 : Ⅰ動詞1 （去掉） get rid of; eliminate; remove 2 [數學] （用一個數把另一個數分成若干等份） divide:...
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 累進 : progression累進獎金報酬 accelerating premium pay; 累進率 graduated rates; 累進稅 progressive tax;...
  1. You have lots of fun at shangxiajiu pedestrian street : shopping, sightseeing its unique architecture, enjoying famous guangzhou snack foods at liwan gourmet district and even having a closer look of local residents daily lives. there are many tea houses with hundred years of experience, such as guangzhou restaurant, lianxiang lao and taotao mansion providing tired pedestrians the place for quality tea to relax

    走一趟上下九步行街，除了可以看建築購物，到荔灣名食家吃道地的廣式點心，更可以近距離地貼近廣州人的生活，這里有數家歷史悠久的茶樓，如廣州酒家蓮香樓陶陶居，逛累了隨時可進入茶樓中，體會廣州人嘆茶的功夫。
  2. Users can self - programming : to be addition, subtraction, multiplication and division, evolution, timing, count, accumulation between each channel

    用戶可自行編程：如進行通道與通道之間的加減乘除開方計時計數累積。
  3. In our work here, a model of data mining was developed, which got its foundation from artificial neural networks. hi fact, this kind of model might be called an infant protocol for dss ( decision support system ), which accepts final users " raw data, integrates various sources of data, cleanses them from garbages, then normalizes them into an intermediatary data file. from this temporary data file, the dss model can now make a conclusion, which is a fuzzy set. to do this, we introduce a kind of ann models called bp network, which classifies the records from the normalized data file. in the model. we put our main emphasis on bp network and its training algorithm. ann has been a branch of ai, and it has some kind of intelligence of human beings, as to memorization and reasoning

    我們實現的模型是一個有機的數據處理和決策綜合系統，首先，模型接受用戶在通常的mis系統中積累產生的各種數據，對這些原始的， 「粗糙」的數據，我們第一步的工作是對他們進行預處理，這個過程其實相當的復雜棘手，最典型的，它首先要集成來自不同數據源的數據，其次，它要能夠對這種數據進行清洗，除去我們不感興趣的臟數據，最後，它還要對數據進行重新的解釋，處理數據的規范化，一致化等問題。在進行了必要的數據預處理之後，我們就可以對這種合適的數據進行決策分類了。
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