attribute selection 中文意思是什麼
attribute selection
解釋
屬性選擇-
4. combining the attribute selection method with rough analysis, a classifier modeling method is put forward, which owns the ability of deleting redundant attributes and deducing rules based on rough analysis
將屬性選擇方法與rough分析相結合，利用rough分析可以剔除屬性集合中冗餘屬性並進行規則歸納的能力，提出一種基於rough分析的分類器建模演算法。 -
Optimal bands selection of remote sensing image based on core attribute of rough set theory
基於粗糙集核計算的遙感圖像波段優選演算法 -
The selection of classify attribute from web page training - set base on rough sets
基於粗糙集的網頁訓練樣本集的分類屬性的選擇 -
Fast attribute selection algorithm based on fractal dimension
一種基於分形維的快速屬性選擇演算法 -
One attribute selection and reduction method is presented based on that using factor analysis technology to divide conditional attributes into groups to outline that conditional attributes in one attribute group is relevant to corresponding factor, and those factors are linear combination of target concept. information entropy evaluation is used for attribute selection based on that whether the attributes groups and attributes are strong correlation with corresponding target concept and factor, reserving attributes that are correlative to target concept, and deleting irrelevant attributes
提出一種屬性選擇和屬性消減方法，引入因子分析技術對條件屬性進行分組，每個屬性類內部的條件屬性與相應的因子線性相關，所有因子是目標概念的線性組合，根據屬性類或屬性是否與相對應的目標概念或因子強相關，引入信息熵評價方式對之進行選擇，選擇出與目標概念相關的屬性，剔除無關的屬性。 -
Firstly, some basic algorithms for inducing decision tree are discussed, including id3, which uses information gain to select a splitting attribute when partitioning a training set ; c4. 5, which can deal with numeric attributes ; cart, which uses gini rule in attribute selection and induces a binary tree ; public, which puts tree pruning in the tree building phase ; interactive method, which puts artificial intelligence and human - computer interaction into the procedure of decision tree induction ; as well as sliq and sprint which are scalable and can be easily parallelized. advantages and disadvantages of these algorithms are also presented
文中詳細闡述了幾種極具代表性的決策樹演算法：包括使用信息熵原理分割樣本集的id3演算法；可以處理連續屬性和屬性值空缺樣本的c4 . 5演算法；依據gini系數尋找最佳分割並生成二叉決策樹的cart演算法；將樹剪枝融入到建樹過程中的public演算法；在決策樹生成過程中加入人工智慧和人為干預的基於人機交互的決策樹生成方法；以及突破主存容量限制，具有良好的伸縮性和并行性的sliq和sprint演算法。 -
A new matching method of well - log and seismic data is presented so that two - dimensional distributed seismic attribute can be used in 3d reservoir geological modeling. it is named vertical equivalence method. the seismic attribute classification method based on the geological properties in reservoir geological modeling, seismic wave skewness and kurtosis conception, and the rules of seismic time window selection and attribute analysis are presented
提出了將二維分佈的地震屬性用於三維儲層地質建模的井震數據匹配地震屬性縱向等值法、基於儲層地質建模儲層地質屬性的地震屬性分類方法、地震波形偏度與尖度的概念、地震時窗選取準則和地震屬性分析準則，為在大慶油田開展儲層地質建模建立了可選的地震屬性參數表。 -
Use the following table to complete the attribute definition in the design grid based on your selection in step 4
根據第4步中的選擇，使用下表完成設計網格中的屬性定義： -
Considering that site selection is a multi - attribute decision with preference information, under the use of rough sets, the original decision table is replaced by the binary comparison table, the decision rules are reasoned by the dominance attributes sets, and then the ranking relation is obtained through these decision rules
考慮到選址是一個具有偏好信息的多屬性決策問題，因此在粗糙集方法的使用中，用一個兩兩比較表代替原來的決策表，並通過優勢屬性集來推理決策規則，從而確定各方案排序。 -
The main works of this paper are presented as follows : ( 1 ) analyzed the research condition and the difficulty of multi - agent security research at present, and we gave the definition of security in a multi - agent system ; ( 2 ) analyzed and sampled involved immune mechanism, we constructed a immune agent and described its mental attribute by dfl ; ( 3 ) gave a communication form based on mental attribute ; ( 4 ) based on dfl, we proposed a diseriminating model among tias by taking into account the theories of dynamic immune network ; ( 5 ) based on the principle of clone selection, we gave a tia ’ s immune algorithm, and put forward single tia ’ s distinghuishing model and multi - tia ’ s distinghuishing model by taking this algorithm as foundation ; ( 6 ) the security model carried on an application in the detection of computer virus, for this purpose, we also developed a simple simulation program based on binary coding
主要包括如下工作: （ 1 ）分析了當前多agent安全的研究現狀及其面臨的困難，給出了多agent安全的需求和定義; （ 2 ）分析和抽取了相關的免疫機制，構造了一種免疫agent ，並利用動態模糊邏輯對其非空心智狀態進行了描述; （ 3 ）給出了agent之間基於心智屬性的通信方式; （ 4 ）以動態免疫網路理論為基礎，結合動態模糊邏輯，給出了tia的狀態鑒別模型; （ 5 ）給出了基於克隆選擇原理的tia免疫演算法，並在該演算法的基礎上提出了單tia非自體識別模型和多tia協商非自體識別模型; （ 6 ）將該安全模式在計算機病毒檢測中進行了應用，實現了一個簡單的基於二進制編碼的計算機病毒檢測模擬系統。 -
Combined the fuzzy optimum selection theory with ann theory, the principle and realization based on neural networks with fuzzy optimum selection of mae ( multiple attribute evaluation ) are analyzed in detail, and the neural network with fuzzy optimum selection model are formed
建立三層bp神經網路綜合后評價模型，將人工神經網路理論與模糊優選理論相結合，構建了基於模糊優選的bp神經網路綜合后評價模型，並將模型應用於實例研究，實現了方法的創新。 -
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 ） 。 -
Through studying, the author finds that : first, historical cost measure attribute to based on labor value theory, study it have great realistic meaning ; two, economy is developed, theory of demand more and more abundant, but historical cost measure attribute eternal first - selection accountant measure theory of socialist market economy in our country
經研究發現：歷史成本計量屬性是以勞動價值理論為基礎，未來現金流量現值法是以要素價值論為基礎，通過比較分析，發現前者更具有重大現實意義；企業經濟活動越豐富多彩，對會計理論的需求也在不斷創新，但是歷史成本計量屬性在會計領域的應用是永恆的。 -
Expression2 must be a selection expression over an attribute or variable
表達式2必須是在屬性或者變量之上的選擇表達式。 -
But most of the existent decision tree algorithms suffer a problem, namely multivalue bios, in the process of attribute selection
現存的決策樹演算法普遍地存在著一個問題? ?屬性選擇時的多值偏向。
分享友人