regression tree 中文意思是什麼
regression tree
解釋
退化樹- regression : n. 1. 復歸，回歸。2. 退步，退化。3. 【天文學】退行。adj. -sive ,-sively adv.
- tree : n 特里〈姓氏〉。n 1 樹〈主要指喬木，也可指較大的灌木〉。 ★玫瑰可以稱為 bush 也可以稱為 tree 2 木...
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The tree approach of linear regression models with categorical independent variables
自變量含有類型變量的線性回歸模型的樹方法 -
The microsoft time series algorithm uses a linear regression decision tree approach to analyze time - related data, such as monthly sales data or yearly profits
Microsoft時序演算法使用線性回歸決策樹方法來分析與時間相關的數據，例如，月銷售額數據或年利潤。 -
Secondly, decision tree classification model and logistic regression model are performed to rock mass quality assessment, based on sas / enterprise miner
應用sas enterpriseminer系統的決策樹分類演算法和logistic回歸演算法進行巖體的質量分級評價。 -
The first part of this thesis describes the theory of rbf neural networks. the input space is thus divided into hyperrectangles organized into a regression tree ( binary tree ) by recursively partition the input space in two
第一部分從rbf網路出發，通過遞歸分割將輸入空間劃分為兩部分，從而將輸入空間變成一個用超矩形構成的回歸樹（二叉樹） 。 -
Decision tree is often applied for predicting the class label of data objects and regression model is usually applied in the course of linear problem
決策樹通常用於預測數據對象的類標識，而回歸問題經常解決線性問題。 -
Classification and regression trees processing part introduces growing algorithm of cart, pruning algorithm of cart and selecting best tree algorithm etc. on the basis of the concerned new model, the thesis presents in details the designing of multi - rules neural network based cart system for abnormal customers recognition
在分類回歸樹部分，介紹了分類回歸樹的生長演算法、最小代價?復雜性剪枝演算法以及最優樹選擇等演算法。提出了系統設計之後，論文詳細介紹了該系統的開發，用以解決異動客戶的識別問題。 -
You can use multiple algorithms within one solution to perform separate tasks, for example by using a regression tree algorithm to obtain financial forecasting information, and a rule - based algorithm to perform a market basket analysis
可以在一個解決方案中使用多個演算法來執行不同的任務，例如，使用回歸樹演算法來獲取財務預測信息，使用基於規則的演算法來執行市場籃分析。 -
Data mining is defined as the nontrivial extraction of implicit, previously unknown, and potentially useful information from data or known as knowledge - discovery in databases ( kdd ). to do this, data mining uses computational techniques from statistics, machine learning and pattern recognition such as discriminate analysis, regression method, mathematical programming, decision tree, k - nearest neighbor, artificial neural network etc. although many positive attempts are done, the development and application of personal credit assessment model in chinese bank industry is still in its infancy
數據挖掘是20世紀90年代後期人工智慧和數據庫領域興起的一種數據處理和知識發現（ kdd ）理論，是從大量的、不完全的、有噪聲的、模糊的和隨機的實際應用數據中，提取隱含在其中的信息和知識的過程。對數據進行分類和預測是數據挖掘的主要功能。數據挖掘用於信用評估的優勢主要在於: （ 1 ）能處理和修正實際數據問題，演算法模型具有自檢 -
Based on the generalized computing theory, the thesis combines multi - rules neural network with a kind of decision tree - classification and regression trees. further more, we put forward a new kind of abnormal customers recognition model
為進行客戶關系管理，本文基於廣義計算思想，將多準則神經網路和一種決策樹? ?分類回歸樹相結合，提出了一種新的異動客戶識別模型。 -
The work that is carried out by me for this project as follows : at first, works over the decision tree technology and the multi - rules neural network theory based on the generalized computing, outlines the advantages and disadvantages of the two theories, analyzes the possibility to combine multi - rules neural network with classification and regression trees, and studies some achievement in this field
為完成這個項目，本人所做的工作具體如下：首先研究了數據挖掘技術中的決策樹技術和基於廣義計算的多準則神經網路理論以及兩種理論的優缺點。分析了多準則神經網路和決策樹相結合的可能性及優勢，並深入了解目前該方向的發展情況。 -
Bayesian - network based regression tree learning algorithm
基於貝葉斯網路的回歸樹學習演算法 -
The viewer displays a regression formula at each leaf in the tree
該查看器在樹的每個葉上均顯示一個回歸公式。 -
We call this method point - tree structure genetic programming algorithm ( ptgp ). this algorithm has been applied into symbolic regression and parameter identification. the results show that ptgp is a good method
我們將這種演算法應用到間斷函數回歸問題（符號回歸問題）和間斷參函數識別問題（偏微分方程反問題）中，測試結果表明，點樹遺傳程序設計演算法能夠有效的識別間斷函數。
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