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In this paper, based on the analysis of the core concepts in the Kernel method, the basic principles of the multiclass classification based on the one-class classification were studied, and the reliability function applied to the multiclass classification was put forward, which makes the classif.

在分析一种非线性数据处理新方法的核心概念基础上,研究了基于一类分类方法的多类分类基本原理,提出了应用于多类分类的可信度函数,使聚类与分类的结果更具有可信度。

The parallelepiped classifier,minimum distance classifier,Maximum Likelihood Classifier,Neural network and,especially,the newly developed Support Vector Machines were assessed in the object-based image analysis of VHSR data. The impacts of kernel configuration on the performance of the SVM and of the selection of training data of the four classifiers were also evaluated.

对比研究了平行六面体、最近邻分类法、最大似然法、神经网络等经典分类算法以及近年来新发展的支持向量机分类算法在基于分割对象的高分辨率遥感图像分类中的性能,详细分析了不同内积核函数对于支持向量机分类的影响。

But this way there is still some problems: The first is the classification of garbage awareness is not strong, looks like a trash can in fact classified and former effect is the same; second, the boundaries of recyclable and non-recovery is unknown, some of the more a strict classification is not as familiar to the students; third is the credibility of recovered, often encounter such a situation, was classified as environmental protection staff in clearing rubbish is often peremptorily, when the inverted together, it will not be garbage separation effect.

但这样的方式还是存在一定的问题:第一是垃圾的分类意识不强,看似分类的垃圾桶事实上和以前的效果是一样的;第二是可回收和不可回收的界限不明,一些较为严格的分类并非为同学们所熟悉;第三是回收的可信度,常常会遇到这样的情况,被分类的垃圾在环保人员清理的时候往往是一股脑的倒在一起,根本起不了垃圾分类的效果。

In this thesis, the methods of surrounding rock masses stability classification on the basis of the geological documentation of muck and the boring parameters of TBM are approached, especially as follows:①The geological documentation of muck and the boring parameters of TBM in the Yellow River Diversion Project.of shanxi province is summarized systematically;②Based on the geological documentation of muck and the boring parameters of TBM, that whether the common methods of surrounding rock masses stability (the methods of regular factor classification) classification are feasible, is carried on the discussion;③According to the corresponding relation of muck and the boring parameters of TBM and the surrounding rock masses stability type, the extension assessment method of tunnel surrounding rock masses stability classification is set up, also the corresponding fortran calculation procedure worked out, and not only rational result in conformity with the reality can be obtained, but also the stability situation of surrounding rock masses in front of the working range can be predicted according to the change of the dependent value in the application instance of Yellow River Diversion Project;④Combining with the application instance of Yellow River Diversion Project, extension assessment method in the application of surrounding rock masses stability classification is compared and verificated in detail by applying fuzzy synthesis method by forefathers, and a certain degree discussion and summary about the application achievement of surrounding rock masses stability classification, which is assessed by extension assessment method and fuzzy synthesis method, are carried on.

本文基于渣料和TBM掘进参数的地质编录提供的地质信息进行了围岩稳定分类方法的探讨,重点进行:①对引黄工程中渣料和TBM掘进参数的地质编录的系统整理;②基于渣料和TBM掘进参数的地质编录获得的地质信息,对常用围岩稳定分类方法是否能够进行围岩稳定分类进行了探讨;③根据渣料和TBM掘进参数与围岩稳定类型的对应关系,应用可拓理论,建立了隧洞围岩稳定分类的可拓评价方法,还编制了相应的fortran计算程序,并在引黄工程的应用实例中不仅取得了与客观实际相符的合理结果,而且根据其关联度值的变化能够预测临近掌子面前方围岩的稳定情况;④结合引黄工程的应用实例运用模糊综合评判方法对可拓评判方法在围岩稳定分类中的应用进行了详细的验证、比较,并对前人在运用可拓学和模糊数学进行岩体稳定评判的应用成果方面,进行了一定的探讨、总结。

In view of the above, we suggested that large bowel tumorous adenoma could be class...

在此分类基础上可结合细胞形态进一步分类,如柱状杯状细胞混合性管状绒毛状腺瘤。对本分类的意义进行了讨论。

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。

This classifier finished TM landcover by fuzzy logic reasoning, and the unclassified pixels increase K adaptively to be classified; It improved 2.7% and 2.9% in overall accuracy and Kapp coefficient compared with MLC, deceased 1% in Kapp coefficient and no change in overall accuracy compared with self-organizing network.

对拒分类的像元,自适应增加K值使其可分。该方法所得分类精度及Kapp系数与最大似然分类方法结果相比分别提高了2.7%和2.9%;与自组织网络相比,总精度相差不大,而Kapp系数低1%。

The act of assorting; separation into classes.

分类分类的行为;分类

Objective:Discusses the BC-3000plus entire automatic blood corpuscle analyzer white blood cell classification to count with the manual classified result difference,understands the instrument dialogue cell classification the accuracy.

手工法与BC-3000血球分析仪白细胞分类的比较目的:探讨BC-3000plus全自动血细胞分析仪白细胞分类计数与手工分类结果的差异,以了解仪器对白细胞分类的准确性。

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然而,Internet固有的有线连接方式大大限制了人们对网络信息的访问和使用。

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