每點選數成本 的英文怎麼說

中文拼音 [měidiǎnxuǎnshǔchéngběn]
每點選數成本 英文
cpc
  • 每 : Ⅰ代詞（指全體中的任何一個或一組） every; each; per Ⅱ副詞（表示反復的動作中的任何一次或一組） often; every Ⅲ名詞（姓氏） a surname
  • 點 : Ⅰ名詞1 （液體的小滴） drop （of liquid） 2 （細小的痕跡） spot; dot; speck 3 （漢字的筆畫「、」）...
  • 選 : Ⅰ動詞1. （挑選） select; choose; pick 2. （選舉） elect Ⅱ名詞（挑選出來編在一起的作品） selections; anthology
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 成 : Ⅰ動詞1 （完成; 成功） accomplish; succeed 2 （成為; 變為） become; turn into 3 （成全） help comp...
  • 本 : i 名詞1 （草木的莖或根）stem or root of plants 2 （事物的根源）foundation; origin; basis 3 （本錢...
  • 點選 : clickclick throughh
  1. In ranking the indicator system of affecting cultivated land being selected into prime farmland has been built firstly, which is composed of 18 indicators involved in quality, location, policy attribute and administrative intervention of cultivated land. then based on the character of ranking, the idea of combination decision has been brought forward, ranking cultivated land synthetically with three ranking models including a model by similarity to ideal point, fuzzy optimization model and attribute hierarchy model. in three models the weights are based on hierarchy analysis and entropy weights, considering not only subjective partiality but also the intrinsic information of decision objects, which make the ranking results more scientific, reasonable and credible

    在耕地綜合排序中首先建立了耕地入選基本農田的決策指標體系，由耕地質量狀況、區位條件、政策屬性以及行政干預4大決策因素共18個決策指標構成；然後根據排序問題的特點，提出了「組合決策法」的思路，並採用逼近於理想點的排序模型（ topsis ） 、模糊優選模型（ fom ）和屬性層次模型（ ahm ）三種排序方法對耕地進行綜合排序，每種排序模型中均採用基於層次分析法和熵權系數法確定的綜合權重，既考慮決策者的主觀偏好，又充分利用決策對象的固有信息，使排序結果更為科學、合理、可靠。
  2. Moreover, the paper compiles a decision tree - making program by camm algorithm in matlab in order to compare with the clustering. regard the history fault data of gear case as specimen, at first the information gain of every decision property is calculated at current decision point and the decision property which has the greatest information gain is selected as the decision point. then the assembly is subdivided according to the value of its decision property. delete the groups whose degree of support for sort property classification is less then the designated value

    以齒輪箱歷史故障數據為樣本，首先從當前決策節點計算每個決策屬性的信息增益，選擇具有最大信息增益的決策屬性作為決策節點，並根據該決策屬性的取值將該決策屬性所在集合分成若干個子集，濾掉所有子集中對類別標識屬性的分類支持度小於指定的最小支持度的元組，重復該過程直至生成決策樹。
分享友人
分享到 Line

分享到臉書