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Study on Optimum Decision Method of MSW Management System. 城市固體廢棄物處理系統優化決策方法研究。
Decision tree is a useful method of classification. 摘要決策樹是分類的常用方法。
A decision tree is a graphic model of a decision process. 決策樹是描述決策過程的一種圖形。
In the Grid pane, click Source and then select TM Decision Tree mining model. 在「網格」窗格中,單擊「源」,然後選擇「TM Decision Tree挖掘模型」。
Click Select Model, expand Targeted Mailing, and then choose TM Decision Tree. 單擊「選擇模型」,展開「目標郵件」,再選擇TM Decision Tree。
This viewer contains two tabs, Decision Tree and Dependency Network. 此查看器包含兩個選項卡,即「決策樹」和「相關性網路」。
Evolutionary decision tree method has the advantage of global search. 演化決策樹方法將傳統的決策樹演算法與演化演算法相結合,具有全局搜索的優點。
Decision tree, neural networks and Bayesian networks are the main tools of KDD. 決策樹、神經網路、Bayesian網路等是當前知識發現的重要工具。
Decision trees can be used for prediction. 決策樹可用於進行預測。
Through the estimation of the optimum decision mathematic model and based on the discreteness of lifelines arc unitsdesign plan,the practical method of adding-strength optimumdesign is suggested. 通過建立增設單元的優化決策數學模型，並利用生命線弧單元設計方案的離散性，建立了增設加固優化設計的實用方法。
With the minimum square sum of weighted Euclidean distances as the objective function, the unified theory and cyclical iteration model of fuzzy cluster, recognition and optimum decision are founded. 通過以全體樣本對全體類別加權廣義歐氏權距離平方和最小為目標函數，建立了模糊聚類、識別與優選決策統一的理論與循環迭代模型。
A new site selection method is proposed by using SOM neural network to analyse the factors of influencing the site selection and an optimum decision in an objective manner is made. 利用SOM神經網路對影響民用爆炸物品配送中心選址的各種因素進行分析和處理，較客觀地對多個候選方案進行了選優決策。
For example, in a decision tree mining model the viewer will use Cyan to display continuous attributes. 例如,在樹挖掘模型中,查看器將使用青色來顯示連續屬性。
On the Decision Tree tab, you can examine all the tree models that make up a mining model. 在「決策樹」選項卡上,可以檢查構成挖掘模型的所有樹模型。
When you build a decision tree model, Analysis Services builds a separate tree for each predictable attribute. 生成決策樹模型時,Analysis Services將為每個可預測屬性生成一個單獨的樹。
Now there are many methods that has been applied to this field, such as SVM, KNN, Naive Bayes, Decision Tree, etc. 目前已經有許多方法應用到該領域。如支持向量機方法(SVM)、K近鄰方法(KNN)、樸素貝葉斯方法(Naive Bayes)、決策樹方法(Decision Tree)等等。
The traditional decision tree category methods(such as:ID3,C4.5) are effective on small data sets. 傳統的決策樹分類方法(如ID3和C4.;5)對於相對小的數據集是很有效的。
This paper regards decision tree as basic classifier, and introduces the least square technology for linear fusion. 以決策樹作為基本分類器，引入最小二乘技術進行多分類器線性融合。
Two methods for text categorization fuzzy rule extraction are presented based on fuzzy decision tree. 本文提出了兩種基於模糊決策樹的模糊文本分類規則抽取方法。
The market offer optimum condition for sale. 市場為銷售提供了最佳條件。