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classifier相关的网络例句

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Research show that wavelet varied-grid feature vector is characterized by high-stable and high-distinguish. Based on this vector the apery cognitron has solved the harmony of single-classifier and multi-classifier and the harmony of multi-feature. The data shows that the recognition rate and reliability has been effective improve.

实验数据表明,小波变网格特征向量具有稳定性高、区分性强的特点,基于此的智能字符识别机解决了单、多分类器协调和特征协调问题,在应用快速二值化方法加强处理实时性的同时有效地提高了车牌字符的识别率和识别可靠性。

In the research of classifier systems, we emphasize on the two important credit apportionment mechanisms, and also study the form of crossover in classifier system.

在适应度的计算上,针对问题的特点,采用了学习系统与专家系统的推理机共同协作完成对染色体评价的方法。

In this paper,through extracting the feature of the off-line handwritten numeric characters based on the feature complementary,a method of integrated multi-classifiers of complementary based on the degree of confidence is proposed,witch includes the technology of the least distance classifier,the tree classifier as well as the BP network classifier.

通过对离线手写数字的特征提取,从特征互补的角度出发,采用了最小距离分类器、树分类器和BP网络分类器进行多分类器互补集成,提出了基于置信度的多分类器互补集成方法。

However, because of the huge quantity and the complex system, it is impossible to conducts the study on the whole classifier history directly, but it can serves the purpose that having a view of the classifier history by obtaining from some specific category and discussing historically on classifier in this system.

然而汉语量词数量庞大、系统复杂,直接进行历时研究基本上不可能,但是从某专类入手对该系统内的量词作以"史"的探讨,可以达到管窥量词发展史的目的。

Every research result shows that Bayesian Classifier acts as one important class technology, Compared with Decision Tree Construction and Neural Network Classifier, Bayesian Classifier can adequately bring into play its incertitude discursion ability, so it can ameliorate learning ability and increase accuracy of forecast, it have better class effect in some conditions.

各种研究结果表明:贝叶斯分类作为数据挖掘中一项重要的分类技术,与决策树和神经网络分类器相比,贝叶斯网络分类器可以充分发挥它的不确定性推理能力,从而改善学习效果,提高预测准确率,在某些情况下具有更好的分类效果。

It is also possible to have a combination with a Classifier / Fluidized Bed for ball mill and another Classifier for Roller press or Hammer Mill, so called "Dual Classifier system".

还有一种可能,将用于球磨机的选粉机/流化床与另一台用于辊压机或锤磨的选粉机合并使用,即所谓的'双选粉系统'。

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。

The qualified fine powder enters the turbine classifier which is in the upper part of fluidized bed driven by the rising airflow, and then enter in to cyclone collector after being classified by the classifier (if the products of various particle sizes are needed, add several vertical turbine classifier).

合格的细粉由上升气流携带进入流化床上部的涡轮分级机,分级机对合格的物料进行分级后进入旋风收集器(如需要几个粒径段的产品,则加设多台立式涡轮分级机)。

In the traditional AdaBoost method,the weights are updated based on the weak classifier's overall error rate, this article proposes one kind of the method which unifies the level of difference between the threshold and the feature value of the weak classifier with the weak classifier's overall error rate. Compared to the method which only based on the overall classification error rate to update the weights,this method can achieve higher detection rate while reduces the mistaken-detection rate.

在传统AdaBoost方法中,权重是根据弱分类器的整体错误率来更新的,本文提出了一种将弱分类器的阈值与特征值相差程度和弱分类器的整体错误率相结合来更新样本权重的方法,相比较只根据整体分类错误率来进行权重更新的方法,这种方法可以在降低误检率的同时达到较高的检测率。

A new schema matching approach based on formal concept analysis is introduced. The procedure contains three steps. Firstly, the evidence about each element being matched is initialized by applying name classifier and description classifier which are built on Naive B ayes Text Classifier to classify the names and descriptions of the elements.

提出了一种基于形式概念分析的模式匹配的FCABSM方法,该方法由3部分组成:首先,以朴素贝叶斯文本分类算法为基础设计名称分类算法及描述分类算法,分类目标模式与待匹配模式的元素名以及元素描述,为模式间元素的匹配提供初始依据。

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