分类系统

The popular methods of remote sensing image classification have been generally analyzed and summarized. And the main methods are classification based on statistic, neural network classification, fuzzy classification, decision tree classification, expert system classification. Finally, the characters of each method have been summarized.

现综合分析了目前主要的遥感图像分类方法，将遥感图像分类方法归纳为：基于传统统计分析的分类方法、神经网络分类方法、模糊分类方法、决策树分类方法、专家系统分类方法，并对各种方法的应用情况进行了综述，并总结出各种分类方法应用特点。

By Llibre's algebraic invariant theory, at first on the basis of classification for quadric and quadric homogeneous binary polynomial, the plane linear and cubic homogeneous polynomial differential systems are classified.

利用Llibre的代数不变式理论，首先由二元二次和二元四次多项式的分类结果，对一次和三次齐次多项式微分系统进行代数分类，同时补充了已有结果中出现的漏洞；其次，由称共变张量空间的性质，对缺二次项的三次微分系统在保证轨线走向不变的前提下进行代数分类，使分类后同类系统的示性多项式有相同零点；最后通过讨论一类简单系统的有界性说明了分类的方便方处。

Based on the analysis, according to the proposed classifying methods and the operating characteristics of the off-road vehicle, driveline configuration with combination of traction forces of the parallel hybrid drive system has been selected as the drive scheme of the CFA6470HEV hybrid electric off-road vehicle.

研究了混合电动汽车驱动系统的4种分类方法，对每一种分类方法中包含的各种类型的混合电动汽车驱动系统的结构特点进行了分析，对国内外一些典型结构的混合电动汽车进行了研究，在此基础上，根据提出的分类方法以及越野车的运行特点，选取分路式并联混合动力驱动系统作为CFA6470HEV混合动力越野车的驱动系统方案，车辆的各项性能都达到了预定的目标，证明所选取的方案是合理的。

With the found of new Rhizobium resources and development of science and technology,Rhizobium taxonomy has transfer from tradition classification to modern systematic taxonomy.

随着根瘤菌资源的不断发现和科学技术的不断发展，根瘤菌分类从以互接种族为依据的传统分类逐步过渡到了以系统发育关系为依据的现代系统分类，特别是近十几年来，生物技术应用于根瘤菌系统发育及其分类的研究进一步促进了根瘤菌资源的开发利用，使得根瘤菌的分类及其系统发育研究有了突破性进展。

As the method of summary classific ation does not fit with automatic summarization classification,automatic summar ization is classified using different standards in the paper. The classification is based on the features of automatic summarization.

目前 ，文摘的分类方法不适用于自动文摘的分类，因此，本文试着从多角度对自动文摘系统进行了分类，这样的分类根据自动文摘的特点进行的划分，是对自动文摘分类的一种总结，可以作为构造自动文摘系统和思考自动文摘发展方向的参考和借鉴。

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。

By means of the novelly decoded manner and the well constructed fitting function, the global searching performance for the GA is developed so that optimized RBPNN approaches to the parsimonious structure;(4) A ROLS micro-genetic algorithm was built by integrating the micro-genetic algorithm with good convergence performance based on tiny class of group with the ROLS-SOA.

提出一种新的基于径向基概率神经网络的模式识别融合系统，即多分类器系统，避免了单一径向基概率神经网络分类器的分类局限性，减少了寻求单一分类单元结构最优化时的计算复杂度，通过使用D-S融合算法，大大提高了对复杂模式识别问题的分类精度。

As a result, it is convenient for the recognition system to use the simple linear classifier to segment the sample space, so that the accuracy and distortion invariant ability can be easily achieved. The classification structure of a bifurcating tree is utilized to decompose the classification problem of multi-classes to the multi-stage classification of two classes, which simplifies the design of the classifier, and improves the searching efficiency as well. A gray-scale analysis based method for extracting features from optical correlation result is proposed.

提出了二叉树鉴别分类方法，在使用同类图象的多个典型畸变样本训练识别系统的基础上，利用鉴别分析方法优化各类图象的特征向量在样本空间中的分布，不仅有利于同时提高系统的准确性和抗畸变能力，而且便于采用简单的线性分类器来划分样本空间；利用二叉树分类结构，将多类样本的分类问题分解为多级二类样本的分类问题，不仅简化了分类器的设计，而且提高了搜索效率。

Binomial nomenclature A system of classification introduced by Linnaeus, the Swedish botanist, in which each species is given two names.

双名法：由瑞典植物分类学大师林萘创立的分类系统。

Their taxonomy of mutants paralleled the Linnean system of natural species: every monstrosity was assigned a class, order, family, genus, and even species.

他们的突变体分类法和自然物种的林奈分类系统相对应：每种畸形物都被赋予纲、目、科、属甚至种。

Plunder melds and run with this jewel!

掠夺melds和运行与此宝石！

My dream is to be a crazy growing tree and extend at the edge between the city and the forest.

此刻，也许正是在通往天国的路上，我体验着这白色的晕旋。