feature attribute 中文意思是什麼

feature attribute 解釋
特徵屬性
  • feature : n 1 形狀,外形;特色;(特指)好看的外表;〈pl 〉臉形;五官;面目,容貌,面貌,相貌。2 臉面的一部...
  • attribute : vt. 1. 把(某事)歸因於…。2. 認為…系某人所為。n. 1. 屬性,特質。2. (人物、官職等的)標志,表徵。3. 【語法】屬性形容詞。
  1. Aiming at matching searching of customer demand in product configuration design of case - based reasoning, the conception of the entities, the entity, the attribute, the primary attribute set, the similar element etc. were introduced, and the similarity calculation model based on entity attribute was established ; the mapping relationship of customer demands and the product structure cellular feature during the process of product configuration was studied, and the calculation flow of similarity was put forward ; the type, range and weighting of attribute were analyzed, the calculation method of property similarity and formula of entity similarity were advanced

    摘要針對基於實例推理的產品配置設計中客戶需求匹配搜索的問題,引入了實體集、實體、屬性、主屬性集、相似元等概念,建立了基於實體屬性的相似度計算模型;研究了產品配置過程中客戶需求與產品結構單元特徵之間的映射關系,提出了相似度的計算流程;分析了屬性的類型、值域和權重,提出了屬性相似度的計算方法和實體相似度的計算公式。
  2. Dotfuscator allows you to map values contained in an obfuscation attribute s feature property to feature strings that dotfuscator understands

    Dotfuscator允許將obfuscation屬性( attribute )的功能屬性( property )中包含的值映射到dotfuscator能夠理解的功能字元串。
  3. For publishing paper map, some approaches, for examples, area feature symbolization, feature covering, making mask and so on, are accomplished on the process. it is the second key that spatial attribute database management is applied in digital mapping. when a user adds or changes a feature, its attribute and symbol will be changed together

    本文指出解決空間數據的地圖表達是實現一體化生產模式的第一個關鍵,其中地圖數據符號化技術貫徹全部過程,實現了基於地圖符號的空間數據生產,並在地圖出版階段,通過面狀符號配置、要素壓蓋、蒙片等地圖出版處理技術,實現地圖出版;本文把屬性管理技術應用在地圖制圖中,實現了屬性數據庫支持下的地圖編輯。
  4. Part 1 : a brief account of the crime obstructeclin this part, the author compared the appellations of the acts such as legal defense and so on, and put forward a new terms : the crime obstructed. this terms has merit as follows : in the first place, it is named in the point of view of the constitution of crime, so we can avert the abuse that people named them in the angle of criminal attribute, but studied them not in the part of criminal attribute ; secondly, it can integrate the fortuious event, the force majesture, the severe damages of people who has criminal incapacity that in traditional theories are studied in the interior of the constitution of crimes and the acts such as legal defence, etc., because they have a common ground : not to accord with the constitution of crimes. thirdly, it is accurate and lucid terms. besides appellation, the author discussed the concept and feature of the crime obstructed in this part

    該部分詳細比較了我國學者對以正當防衛為代表的一系列行為的稱謂,提出了「犯罪阻卻事由」這個新術語。並認為使用這一術語有如下優點:一是從犯罪構成的角度來命名,避免了其他術語從犯罪屬性的角度命名但又不在犯罪屬性這部分來研究的弊端;二是它能將傳統理論放在犯罪構成內部研究的意外事件、不可抗力與無刑事責任能力人的嚴重損害行為與正當防衛等統一起來,因為它們有一個共同點:不符合犯罪構成;三是這個術語準確而又簡潔。除稱謂外,這部分還研究了犯罪阻卻事由的概念與特徵。
  5. The spatial attribute is a coordinate geometry, or vector - based representation of the shape of the feature

    而空間數據則為空間對象的幾何坐標或向量表示。
  6. The framework suppose that the image ' s semantic feature can be expressed by using a multi - level attribute tree, and the probability of a certain image having a certain attribute can be estimated by interpolation method using the neighboring image ' s value. here, the neighboring relation refers to the neighboring in the low - level feature space

    該框架假定圖像的語義特徵可用多層屬性樹來近似表示,並且圖像擁有某個屬性的概率值可由相鄰的圖像的概率值進行插值估計,框架中的相鄰指圖像在底層特徵空間的相鄰。
  7. The csbark algorithm computes the cs of an attribute according to the weighted feature difference and value difference, then searching the minimal reduction of attributes using cs as heuristic information. the cs value not only represents the importance of a condition attribute, but also reveals its relationships with other attributes. the minimal rules set algorithm depends on the value core and integrates the logic relation in the reasoning

    前者利用微差距離計算屬性的加權特徵差、利用互信息計算值差,從而求出各條件屬性的上下文敏感度,該值既反映了對應的條件屬性的重要性,同時還反映了該屬性與其它屬性的關聯程度;後者利用值核在生成規則過程中的重要作用,結合推理過程中的邏輯關系求解最小決策規則集,並給出了規則的評價指標支持度和信度的計算方法。
  8. Based on the object - oriented technique, this study defines four types of geographical event, i. e. expansivity, contraction, rebirth and vanishment events for management of land use data. and it further designed an object - superposition data updating model based on the land use feature of point, line and polygon , which would take the advantage of the gis overlay function to effectly implement of updating spatial and attribute data

    從面向對象的方法入手,定義了引起土地利用變化的擴展、收縮、新生與消亡四種地理事件,並分別按點狀地物、線狀地物和面狀圖斑的土地利用實體特徵設計了對象疊加更新模型,從而能利用gis強大的空間分析能力,來有效地實現空間數據和屬性數據的一致性更新。
  9. In this strategy, the theory and methods of attribute importance within rough set were applied to define the weight of each feature attribute of the case ; the theory and methods of knowledge reduction was applied to define the index of the case knowledge base

    在該策略中,運用粗糙集中屬性重要度的理論和方法,確定事例各特徵屬性的權重,運用知識約簡的理論和方法判斷事例知識庫的索引。
  10. This article is arranged as follows : firstly, by way of distinguishing the special business attribute and management feature of retailing from the business attribute of the manufacturing enterprise, i pointed out that the “ similarity ” and “ ordered production ” attributes lead to replication and alternative intervention of a retail firm. by way of contrast retail firm ’ s three kind of scale expansion : single store expansion, vertical integration and branch store expansion, i concluded that the branch store expansion is the effective way to expand a retail firm ’ s scale

    本文思路如下:首先在理論上,從區分零售企業與生產企業業務屬性出發,探索零售企業的「類似性」業務屬性以及「訂購性生產」經營特徵與分店擴張之間的關系,通過對比分析零售企業擴張規模的三種模式:單店擴大、垂直一體化與分店擴張,得出分店擴張是零售企業擴張規模的有效途徑。
  11. The attribute of vem part object is specified with parametric method based on feature. the feature classes and part classes are defined

    利用基於特徵的零件參數化方法確定了立磨機零件對象的屬性,並對各特徵類和零件類進行定義。
  12. These map databases contain the graphic map feature with attribute information

    這些地圖數據庫儲存了圖形地圖特徵和屬性資料。
  13. Firstly, making a comprehensive survey of feature selection for unsupervised learning in the past research, these are theoretical foundations of my paper. secondly, we introduce a novel methodology ulac ( feature selection for unsupervised learning based on attribute correlation analysis and clustering algorithm )

    在已經深入了解和體會現有發展的基礎上,提出一種新型的屬性選擇模型? ?無指導學習環境下基於屬性相關性分析和聚類演算法的屬性選擇方法ulac ( featureselectionforunsupervisedlearningbasedonattribute - correlationanalysisandclusteringalgorithm ) 。
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