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classifier相关的网络例句

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

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%。

This classfier extracts the feature vector of each samples and documents to be classified by using the feature extraction algorithm. Web page was classfied by using the K-Nearest-Neighbor classification algorithm. The experimental results show that this auto classifier based on Web minning can fetch insecurity Web pages, and its classification is effective.

该自动分类器利用特征提取算法实现对每个样本的特征向量提取和待分类文本的特征向量提取,利用基于k个&最近邻&分类算法实现对网页的分类,能够提取出带有不安全信息的网页,分类效果良好。

Packet classification is a technique to match each incoming packet at a muter against a database of classifier and specify forwarding rules for the packets. The classifiers are a powerful and uniform way to implement new network services. The study on IP packet classification algorithm has practical significance and theory value.

分类器为实现因特网新业务提供了统一的方式,包分类是因特网提供一切有差别服务和其他新业务的基础,高速包分类问题是具有重要现实意义和理论价值的研究课题。

With an Euclidean distance based classifier,each nonoverlapping window of the texture image is then assigned to its corresponding category.

利用基于欧几里得距离的分类器,每个纹理图像不相重叠的图像窗被确定到属于它的那一类。

They are noun, adjective, numeral, classifier, pronoun, verb, adverb, suffix, conjunction, auxiliary, interjection and onomatope, respectively.

另一方面由于政治、经济、宗教、文化等因素又吸收了不少其他民族的词汇,其中汉语借词数量最大。

This method was made up of a series of image segmentation and classification technique. First, the orthograph revised SPOT image was segmented by applying a region-based segmentation algorithm. Based this reference map, TM image was classified using the maximum likelihood classifier and additional empirical rules.

该方法由图像分割和分类等一系列技术组成,首先用基于区域分割法则对正射校正SPOT图像进行分割,然后把它作为参考用最大似然法分类器和其他一些经验规则对TM图像进行分类。

This method was made up of a series of image segmentation and classification technique. First, the orthograph revised SPOT image was segmented by applying a regionbased segmentation algorithm. Based this reference map, TM image was classified using the maximum likelihood classifier and additional empirical rules.

该方法由图像分割和分类等一系列技术组成,首先用基于区域分割法则对正射校正SPOT图像进行分割,然后把它作为参考用最大似然法分类器和其他一些经验规则对TM图像进行分类。

The calculation results shows that ,(1) when the rotor rotates at the working speed, a local regurgitant whirlpool that is rightabout to the rotor"s rotating direction appears in the classifying region, which makes the separated granules come back to the outside of the classification district and influences the classification efficiency of the turbine classifier;(2) in the condition of a low rotating speed of turbo rotor, ultrafine particles can follow the gas phase by and large, but when the rotating speed increases, a phenomenon of velocity slippage between two phases appears evidently;(3) A operating parameter, air flow rate is so important that can directly influence the stability of flow field in classifying chamber, the bigger the air flowrate is , the steadier the flow field is;(4) Compared with straight blades, the new shape of blades with backward crooked elbow are helpful to improve the stability of flow field and form whole stream easily, also beneficial to advance the classification accuracy and classification efficiency;(5) The motion trace of particles are very complicated when the turbo rotor rotates at a high speed, the constant bounce of the particles appear between the blades and the coarse particles are even bounce back from the inlet, only the finer can pass through the classification area from the oulet;(6) Along with the increase of the rotor"s rotating speed, radiah axial and tangential velocity all begain to fluctuate repetitively like sine-wave, the smaller the particles are, the more violently they fluctuates.

数值模拟结果表明,(1)在涡轮达到工作转速时,在分级区域形成了一个与涡轮旋转方向相反的局部回流涡,它使得分离出来的细粒重又被带回分级轮外边缘,从而严重影响分级机的分级效率;(2)粉尘粒子在涡轮低速运动情况下,基本上能跟随气体运动,但随着转速加大,两相之间出现了明显的速度滑移现象;(3)分级机工作时的风量也是一个比较重要的操作参数,它可以直接影响到分级机内腔流场的稳定性,风量越大,流场越稳定;(4)同直叶片形状相比较,带后弯导板的叶片,有利于改善流场的稳定性,流场容易形成整体流,对提高分级效率和分级精度都非常有利;(5)粒子轨迹线在涡轮转速较高时十分复杂,有的出现了反复的弹跳现象,大颗粒不能通过分级区域而从进口返流了,只有细小的颗粒才从出口处流出;(6)涡轮转速加大时,粒子的径向、轴向和切向速率出现了明显的类似于正弦波的脉动现象,颗粒越小,脉动程度越为剧烈。

It would, therefore, appear that when pain threshold contractions are compared with the submaximal 20% MVC contraction of normal controls, there is a significant difference and can be used as a useful classifier.

因此,正常人的痛域的收缩值和20%的次最大肌肉力量收缩值域患者具有显著性意义,可以用来作为一个鉴别指标。

Theoretical analysis and experimental results both show:(1) incremental learning can adapt the classifier to new obtained samples much faster than repetitive learning without losing any precision;(2) the SVM-based incremental learning algorithm of Syed et al.

对涉及到的3个方面进行了理论和实验上分析和对比:重复学习和增量学习;Syed等提出的和Xiao等提出的两种不同的基于SVM增量学习方法;&一对一&和&一对多&两种不同的多值分类构造方法。

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