tree n. 特里〔姓氏〕。 n. 1.树〔主要指乔木,也可指较大的灌木〕。 ★玫瑰可以称为 bush, 也可以称为 tree. 2.木料,木材;木构件;〔古语〕绞首台;〔the tree〕(钉死耶稣的)十字架;鞋楦。 3.树形(物),世系图,家系 (=family tree);【数学】树(形);【化学】树状晶体。 a banana tree 香蕉树。 an axle-tree 心棒,轴料。 a boot-tree 靴楦[型]。 a saddle-tree 鞍架。 at the top of the tree 在最高地位。 tree of Buddha 菩提树。 tree of heaven 臭椿。 tree of knowledge (of good and evil) 【圣经】知道善恶的树,智慧之树。 tree of life 生命之树,生命力的源泉【植物;植物学】金钟柏。 up a tree 〔口语〕进退两难,不知所措。 vt. 赶(猎兽等)上树躲避;〔口语〕使处于困境;穷追;把鞋型插入(鞋内)。
We are looking for casuarina trees processing line that shall maximize the use of the cut trees to produce construction items and elements like ground cover , window , doors , furnature etc 我们寻找木麻黄树加工生产线,用来加工生产地被植物、窗户、门、家具等,使建筑木材的生产达到最优化。
And then , the thesis brings forward a new modeling method - abnormal customers recognition system based on generalized computing and classification and regression trees . the system is composed of multi - rules neural network learning part and classification and regression trees processing part 然后,通过深入研究多准则神经网络和决策树的特点,论文提出了将多准则神经网络应用于决策树的建模方法? ?基于多准则神经网络和分类回归树的异动客户识别系统。
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 在分类回归树部分,介绍了分类回归树的生长算法、最小代价?复杂性剪枝算法以及最优树选择等算法。提出了系统设计之后,论文详细介绍了该系统的开发,用以解决异动客户的识别问题。