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two way classification相关的网络例句

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与 two way classification 相关的网络例句 [注:此内容来源于网络,仅供参考]

The function design of system includes writing down amendment and pretreatment about spatial database and attribute database. This system provides common and basic functions of GIS. Besides, we can make out the topographical maps, planimetric maps and skiagraph , structure objects of highway construction of design and can inquire two-way between spatial information and attribute information. The system apply Earned Value Method to perform the correlative property to classification statistic.

系统功能设计包括空间数据库和属性数据库的录入、修改以及预处理;系统还提供了一般GIS系统应具备的基本功能,并在此基础上进行涵盖公路设计施工的地形图、平纵缩图、构造物等图形信息与属性信息的双向查询,并运用挣值法等对相关属性进行分类统计以供有关公路工程项目的各方使用。

By iteratively combining these two procedures we achieve a way of training the configuration of RBFNN. In addition, the algorithm is very robust with respect to the noise level. Simulation experiments show that the proposed algorithms are sound. In chapter 3, which is the extension of chapter 2, the improvements of the architectures of RBFNNs and the solutions of their relating problems are discussed, Firstly, an new distance metric is advanced and a forward orthogonal least square selection procedure is applied to learning the parameters of classification function and selecting the important input nodes.

首先分析了目前存在的同时确定RBFNN结构和参数的方法的缺陷,在此基础上提出了用基于拉马克的进化学说的进化编程算法来改进算法,以克服某些缺陷;然后针对受到严重噪声污染的系统,如何提高RBFNN的泛化能力的问题,利用基于AIC的适应度函数的改进遗传算法学习结构和参数;最后介绍基于MDL原理的方法,将优化网络的结构和参数分为两个阶段:训练和进化,先自适应地改变RBFNN基函数的中心和宽度,同时训练输出线性权值,再用基于MDL原理的适应度函数的标准GA来优化隐层节点,通过交替使用这两过程达到训练RBFNN的结构和参数的目的,该算法具有较强的鲁棒性。

Here, using the mathematica software and the outcome of the computation , we can see which interval is better easily. In chapter 2, the author firstly studies three two-stage simultaneous confidence intervals for the pairwise treatments with the same precision and reliability in a balance one-way classification model ,then work out the optimal sample size of the first stage by numerial computation.

第2章作者讨论了平衡单向分类模型中,成对效应对照的三种两步同时置信区间,接着在保证三种区间可靠度和精度相同的情况下,利用数值计算的方法对最优第一步抽样量及平均抽样次数进行比较。

This is not only a little part of my life story but a small mirror of society or education system. By mirroring these labeled classification rules in society and the process of separation and assimilation in education system, I resist to be assimilated into so-called mainstream value and to correspond to the label of non-mainstream value. I am trying to do myself in two way classification.

这是我生命里的一小段故事,却也是社会的一面小镜子,映照出社会粗浅化约的标签归类规则,映照出教育体制切割与同化的过程,我抗拒被同化与归顺所谓的「主流」价值,也不想符应「非主流」的标签,而能在二分法之外,走出自己的路。

Also positive estimates of variance components are proposed, which have smaller mean-square error than ANOVA estimates, in two way classification models with random effects.

并把这一方法应用到两向分类随机效应模型,给出其中两个方差分量的正估计。

Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified PCNN model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. Secondly, PCNN is extended to PCNNs, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. Thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification; Finally, based on the accumulative difference pictures, and the forming and transmission of PCNN wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction.

首先结合PCNN的同步脉冲发放和侧抑制特性,提出了基于改进型PCNN的图像凹点检测算法,该算法是一种自适应而有效的图像凹点检测方法,并且较好地仿真了人类视觉系统;然后,结合信息传递和信息耦合特性,将PCNN扩展成PCNNs,提出了一种基于PCNNs的图像融合算法,能够将多个传感器获取的同一目标的图像信息融合到一幅图像中,有效模拟了人类视觉系统;另外,结合PCNN的同步脉冲发放特性、捕获特性和波的传播竞争特性,开拓地将PCNN用于模式分类中,提出了基于耦合神经元点火捕获/抑制特性的分类方法和改进的约束距离下的PCNN分类方法,前者可实现对样本空间中任意复杂分布训练样本的稳健非线性分类,而后者能够消除训练样本中刺点对分类的影响;最后,结合累积差分图像思想、PCNN波的形成与传播特性,通过各神经元之间连接取向来选择与控制自动波的流向,将PCNN用于运动视觉分析中的运动轨迹模拟及运动方向检测。

Based on the analysis of genetic relationship of the dendrogram, the 60 phaseolus vulgaris varieties could be classified into two types, one for dwarf variety, and one for the vine and semi-wild varieties. The morphological marker was an easy way for classification.

同时对其开展亲缘关系系统聚类图,将其分为两大类,即矮生种为一类,蔓生种及半野生种合为一类,说明形态标记是一种较浅显的分类方法。

A survey of the Dahe Bay vegetation in Jin-ping cascade hydropower station setting along the river stream in Sichuan province, China, was performed. A total of 132 plant species and 4 environmental factors in 50 sample quadrats were recorded. Assemblages of Jin-ping Dahe Bay were classified using two-way indicator species analysis, ordinating by detrended correspondence analysis. Seven vegetation assemblages were divided by TWINSPAN classification, in which Pouzolzia elegans shrub grassland was the dominant community in this area.

以锦屏梯级水电站大河湾段植被为研究对象,以河流流向为基础布置样方,将50个样方物种重要值及其环境因子进行TWINSPAN数量分类和DCA排序,结果显示:(1)由TWINSPAN数量分类将植被划分为7种类型,雅致雾水葛灌草群落为该区域的主要群落。

推荐网络例句

With Death guitarist Schuldiner adopting vocal duties, the band made a major impact on the scene.

随着死亡的吉他手Schuldiner接受主唱的职务,乐队在现实中树立了重要的影响。

But he could still end up breakfasting on Swiss-government issue muesli because all six are accused of nicking around 45 million pounds they should have paid to FIFA.

不过他最后仍有可能沦为瑞士政府&议事餐桌&上的一道早餐,因为这所有六个人都被指控把本应支付给国际足联的大约4500万英镑骗了个精光。

Closes the eye, the deep breathing, all no longer are the dreams as if......

关闭眼睛,深呼吸,一切不再是梦想,犹如。。。。。。