sample tree

Sample Tree Analysis and Its Application to the Construction of Volume Tables

样木解析法及其在材积表编制中的应用研究

A New Method for Sample Tree Location ── Triangle location

样木定位新方法&三角定位法的研究

Method of sample tree collection for physical and mechanical tests of wood

GB/T1927-1991木材物理力学试材采集方法

In this way , several samples for volume table construction can be obtained from one sample tree .

一株样木可获得龄阶数个编表样本。

This paper also compares CVD model with other models by using data of the sample tree and gives some useful conclusions .

同时，利用实例将CVD模型与现行模型进行比较，给出了一些有益的结论。

Analysis of the data on sampling in two stages demonstrated that the component of variance in specimen was larger than that in sample tree for most samples of both species , which revealed that the size of second stage sampling had considerable effect on the accuracy of sample .

多数两阶段抽样样本的试件项方差分量大于样木项方差分量，说明株内变异较大，二阶抽样单元数对样本精确度有相当影响。

At the same time it achieves well standard sample shoe tree ?

同时很好的实现标准样楦的放码。

By using PowerBuilder 7 , inquiry through a clue of combination of conditions including structural tree , strati graphic tree , well number tree and sample number tree is realized , which meets the thinking way of geologists .

以构造树、地层树、井号树、样品编号树为数据导航线索，利用PowerBuilder7数据库开发工具，设计了符合地质人员思维观念和使用习惯的树状组合条件查询。

The optimum regression models of different dominant plants and organs of the sample trees of tree layers in the four stands of secondary tropical forest were built .

并建立了4个林分主要优势种及乔木层器官生物量的回归模型。

It showed that the minimum sample for spot checking tree spatial distribution patterns of natural Korean pine broad leaved forest should be 49 .

结果表明，天然红松阔叶林空间分布格局调查的最小样本量为49。

Data sample pretreatment of decision tree and Support Vector Machine method is conducted by the documents of product design knowledge segmentation processing , feature extraction , feature merger and expression vector .

通过对产品设计知识文档的分词处理、特征抽取、特征合并及向量表达，为决策支持向量机方法提供样本数据预处理。

When generating a binary tree structure present , is usually based on the distance between the distribution of the samples to determine the class or the sample position in the tree node .

目前在生成二叉树结构时，通常依据样本的分布情况或样本类别间的距离来确定样本在树中节点的位置。