classification and regression tree 中文意思是什麼
classification and regression tree
解釋
分類和回歸樹- classification : n 1 選別；分等，分級；分選。2 【動、植】分類（法）。 〈分類級別為： phylum 【動物；動物學】及 div...
- and : n. 1. 附加條件。2. 〈常 pl. 〉附加細節。
- 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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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。 -
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。 -
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。
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