1) virtual training samples
虚拟训练样本
1.
This paper uses perturbing training samples to produce virtual training samples to overcome singularity of the per class covariance matrices.
本文采用对训练样本进行扰动的方法来生成虚拟训练样本,利用这些虚拟训练样奉克服了各类协方差矩阵的奇异性问题,从而可以直接使用二次判别分析(Quadratic discriminant analysis,QDA)方法。
2) virtual training
虚拟训练
1.
Design of Marine Power Plant Virtual Training System Based on InTouch
基于InTouch的舰艇主动力装置虚拟训练仿真系统的设计
2.
Dynamic Terrain Simulation in Construction Machinery Virtual Training
工程机械虚拟训练动态地形仿真
3.
The intelligent model of trainee and behavioral model of virtual objects in virtual training scene are established,and the robustness and reusability of VMTS can be improved.
基于多A gen t的框架结构可实现受训者的智能模型及虚拟训练场景中虚拟物体的行为模型,从而可以提高VM TS的健壮性和可重用性。
3) 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。
4) 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。
5) Sample training
样本训练
1.
In this paper, relevant parameters influencing sample training precision are explored when the mixtures of experts networks is applied to boiler fault diagnosis,and the relationahip between the square sum of studying error and some parameters,such as rule numbers、studying rate、cycle numbers、weighted exponent,are presented.
探讨了将混合专家网络应用于锅炉故障诊断时,影响样本训练精度的有关参数,得出了规则数、学习率、循环次数、加权指数等参数与样本训练学习误差平方和之间的关
2.
The statistical learning theory based on sample training was applied to analyze the difference and relativity of images figures,and then the common figures and distinct figures of each sort image were catched to form the identification and classification model.
利用基于样本训练的统计学习原理,在分析各类图像样本特征上的差异和相关性的基础上,提取图像共同特征和显著特征参数集合,并加入人为启发式思想,结合先验知识的指导和计算机特征分析结果来制订特征提取规则,应用Dempster-Shafer(DS)理论的思想融合提取的多个特征,形成启发式分类模型。
6) virtual training hull
虚拟训练舱
补充资料：产品样本
厂商为向用户宣传和推销其产品而印发的介绍产品情况的文献。通常包括产品说明书、产品数据手册、产品目录等。产品样本的内容主要是对产品的规格、性能、特点、构造、用途、使用方法等的介绍和说明，所介绍的产品多是已投产和正在行销的产品，反映的技术比较成熟，数据也较为可靠，内容具体和通俗易懂，常附较多的外观照片和结构简图，直观性较强。但产品样本的时间性强，使用寿命较短，且多不提供详细数据和理论依据。大多数产品样本以散页形式印发，有的则汇编成产品样本集，还有些散见于企业刊物、外贸刊物中。产品样本是技术人员设计、制造新产品的一种有价值的参考资料，也是计划、开发、采购、销售、外贸等专业人员了解各厂商出厂产品现状、掌握产品市场情况及发展动向的重要情报源。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条