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1)  The Reduced Training Set
少训练样本集
2)  Training set
训练样本集
3)  single example training
单样本训练集
4)  multi-classification support vector machine
训练图像样本集
5)  training sample
训练样本
1.
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 。
2.
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。
3.
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。
6)  training samples
训练样本
1.
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
2.
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。
3.
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。
补充资料:训练集
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性质:又称训练集。在人工神经网络法中,用一定容量的样本值来训练网络,求得各神经元之间的连接权重,以建立网络模型,用来训练网络的样本值,称为学习样本。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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