類屬實例化 的英文怎麼說
中文拼音 [lèizhǔshílìhuà]
類屬實例化
英文
generic instantiation-
Class is created, the common attributes that are initialized are : class
類的新實例時初始化的公共屬性有：Firstly, the mechanism and constitution of the areal model of agricultural integration are expounded and market tread, leading products, enterprises engaged in processing and selling agricultural products and its specialized wholesale markets and how the peasants are organized are all considered as its component parts. secondly, the methods of how to determine the types of areal models of agricultural integration are discussed. the fact that agricultural production is limited by territorial difference is considered, so the property of the commodity base of agricultural products is thought of as the important basis to determine the model types
首先，對農業產業化地域模式的機制與構成要素進行了論述，把市場指向、主導產品、農產品加工銷售企業、農產品專業批發市場以及農民的組織化程度視為農業產業化地域模式的構成要素；其次，對確定農業產業化地域模式類型的方法進行了探討，認為應以農業生產的地域性為出發點，把農產品商品基地的屬性（而非其他）作為確定模式類型的重要依據；採用綜合分析法把煙臺市農業產業化地域模式類型分為五類；然後實證分析了萊陽龍大公司和棲霞蛇窩泊果品批發市場帶動當地農業產業化發展的實例；最後分析論述了煙臺市農業產業化地域模式的集聚Shows how to constrain type parameters to enable access to methods and properties of the types used to instantiate the generic class
演示如何約束類型參數，以啟用對用於實例化泛型類的類型的方法和屬性的訪問。However, in the context of attribute initializers and assignments the named instances of the expression s type are introduced into the lexical scope with weaker visibility than variables and attributes and may be referenced with their unqualified names, for example
然而，在屬性初始化程序和賦值的上下文中，表達式類型的命名實例被引入到了詞法作用域lexical scope可見性弱於變量和屬性，並可以通過使用它們的無限定名unqualified names引用這些命名實例：Secondly, the thesis puts forward that conditional probability of attribute to positive example can be used to compare the information which attribute provides so as to construct decision tree and to get classify rules. and a demonstration shows that the algorithm simplifies the decision tree ' s building process efficiently
其次，提出了利用屬性對正例的影響度來比較屬性對分類提供的信息量，進而選擇分類屬性構造決策樹的條件概率決策樹演算法，同時實例計算說明該演算法有效地簡化了決策樹的生成過程。Simulation illustrates that the discovery result has dependency relation to the distribution of instance number of feature intervals, cluster method can help to generate more association rules with small quantity of frequent itemsets, and fuzzy discretization can obtain more frequent itemsets and association rules than simple boolean discretization method
模擬表明，最終的挖掘結果與屬性各分段中實例的分佈特點有著密切聯系；聚類劃分在頻繁數據項集數目較少時可以獲得較多數量的關聯規則；利用模糊離散化可以獲得更多數量的頻繁數據項集和關聯規則。First is the integration of back propagation, clustering and decision tree technology in a seamless hole. second is the improvement of three - layer architecture. and weights are detailed to the connection between different feature - value pairs and cases instead of to the connection between features and cases
一是在同一模型中融合了後向傳播演算法、聚類技術、決策樹技術；二是把實例的三層結構進行了改進，並把實例與屬性之間的連接權重細化到實例與屬性取值間的聯接權重；三是在後向傳播演算法中引入差分hebb學習法，並在計算過程中充分考慮了歷史數據的影響。Initializes a new instance of a validator attribute type
初始化驗證程序屬性類型的新實例。分享友人