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Training set

基本解释训练样本集

网络释义

1)Training set,训练样本集2)single example training,单样本训练集3)multi-classification support vector machine,训练图像样本集4)The Reduced Training Set,少训练样本集5)training sample,训练样本6)training samples,训练样本

用法和例句

With the Kohonen network clustering in neural network employed, the degree of relationship of the universal joint axle of the rolling mill was input to Kohonen network as the training sample, studied and clustered by the network to generate different clustering centers according to the different depth and different degree of relationship among the cracks.

利用神经网络中的Kohonen网络聚类的特点 ,把轧钢机万向接轴裂纹故障不同的关联度作为Kohonen网络的训练样本输入到Kohonen网络 ,并由网络进行学习和聚类 。

Exact agricultural crops identification and planting area measure depend on not only classifiers but also training samples imported into classifiers.

准确的遥感农作物类型识别和种植面积统计,不仅仅取决于不同分类方法的选择,同时还要看输入分类器用以学习的训练样本数据,训练样本对分类精度的影响比分类技术本身对测量精度的影响还要大。

Typical fault characteristics are selected as training samples and GA is used to optimize the structure and original weight distribution of BP networks.

提出了一种用故障的典型特征作为训练样本、遗传算法与BP网络相结合的模拟电路故障诊断新方法。

Studies on the purification of training samples in supervised classification by mode filtering;

利用众数滤波对监督分类训练样本纯化的研究

A purified algorithm for training samples based on local automatic searching and spectral matching technique is presented.

提出了一种基于局部自动搜索和光谱匹配技术的监督分类训练样本的纯化方法。

In this paper, using orthogonal experiment method, taking three layers feed forward neural network as a example, problem of choosing training samples, weights and bias, training parameter of neural network is analyzed and studied.

运用正交试验法,以三层前向型神经网络为例,对神经网络的训练样本、权值和阀值、训练参数的选择进行分析和研究。

Construction Method for Training Data Set in Classification Algorithm of Support Vector Machines

支持向量机分类算法中训练样本集的构造方法

The Selection of Classify Attribute from Web Page Training-set Base on Rough Sets;

基于粗糙集的网页训练样本集的分类属性的选择

New reduction strategy of large-scale training sample set for SVM

一种新的支持向量机大规模训练样本集缩减策略

Construction of the Training Data Set in Intrusion Detection Systems Based on the Agglomerate Clustering Algorithm

入侵检测系统中基于凝聚聚类算法的训练样本集的构造

The Training Strategy of SMO Used for the Large-scale Data;

针对大规模样本集的SMO训练策略

Sample Reduction Strategy for SVM Large-scale Training Data Set Using PSO

利用粒子群算法缩减大规模数据集SVM训练样本

They are more efficient than inductive SVMs, especially for very small training sets and large test sets.

它在包含少量有标签样本的训练集和大量无标签样本的测试集上,具有良好的效果。

Research on Face Recognition with Single Training Image Per Person

单训练样本条件下人脸识别技术研究

A Chinese Text Classification System Based on Dynamic Training Data Set

一种动态调整训练集的中文文本分类系统

Face Recognition Researches on Large Scale and Each Person with Few Samples;

大类别及少量训练样本的人脸识别问题研究

Signature Verification Incorporating the Prior Model;

结合先验模型、无简单伪造训练样本的签名鉴定

Selection of Training Samples for SVM Based on AdaBoost Approach

基于AdaBoost方法的支持向量机训练样本选择

Quantitative Measurement of Training Sample Capacity for Chinese Statistical Language Model

汉语统计语言模型训练样本容量的定量化度量

Face recognition from single sample per class based on Gabor filtering

基于Gabor变换的每类单个训练样本人脸识别研究

A Method for Reducing the Amount of Training Samples in KNN Text Classification Based on Clustering and Density

基于聚类和密度的KNN分类器训练样本约减方法

BP Algorithm Improvement Based on Sample Expected Training Number

基于样本期望训练数的BP神经网络改进研究

The training is the same for a Zen warrior, for a Samurai -- the same.

这种训练与禅宗的战士、日本武士一样——这是一样的。

The present study hypothesized that training in an individual event will cultivate the independent self whereas training in a team event will cultivate the interdependent self.

本研究假设,个人项目的训练培养独立自我倾向,集体项目的训练培养互联自我倾向。

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