主元分析法,Principal component analysis英语短句,例句大全

主元分析法,Principal component analysis
1)Principal component analysis主元分析法
1.This method is based on the principal component analysis and neural network.该ECG压缩算法克服了直接用主元分析法压缩数据时,要计算维数巨大相关矩阵的困难。
2.Ranges the influencing factors, with the principal component analysis, in order of their contribution to the model.阐明了空调建筑能耗模型的三大特点:建筑整体性、过程动态性和因素综合性,分析了影响空调建筑能耗模型的诸多变量与影响因素,并在工程实践、现场实测以及研究模拟的基础上,提出了简单实用的空调建筑能耗模型的框架实例,用主元分析法判定了模型影响因素的主次关系。
3.And the principal component analysis is applied to preprocessing high dimensional input variable so that simplified Neural Networks structure.针对前馈网络的不足,提出利用改进的Elman神经网络模型对兰州石化某厂600kt乙烯精馏塔出口成分含量进行建模和预测,并采用主元分析法对高维输入变量进行预处理,以简化网络建模的结构。

英文短句/例句

1.Research on Application of Principal Component Analysis Algorithm to Shallow Subsurface Ultra-Wideband-Impulse-Ground-Penetrating Radar主元分析法在浅层实时探测中的应用
2.Research on Feature Extraction Approaches of Handwriting Signature Using Principal Component Analysis;基于主元分析法的签名笔迹特征提取方法研究
3.Human Activity Recognition Based on Sample Model and PCA基于结构模型和主元分析法的行为识别
4.Modeling of active vibration isolation module with finite element method基于有限元法的主动隔振单元建模分析
5.Ear Recognition Based on Principal Component Analysis;基于主元分析的人耳识别方法的研究
6.Application of Maximal Column Pivot Algorithm to Moment Method Analysis of EM Problems列主元消去法在电磁问题矩量法分析中的应用
7.Research on Principal Component Analysis-Based Adaptive Process Monitoring Methods;基于主元分析的自适应过程监控方法研究
8.Studies on Face Recognition Method Based on PCA and Neural Networks;基于主元分析和神经网络的人脸识别方法研究
9.Research on Principle Component Analysis for Motor State Monitoring基于主元分析的电机状态监测方法的研究
10.DYNAMIC ANALYSIS OF THE SPINDLE COMPONENTS OF NUMERICAL CONTROLLED MACHINE TOOL BASED ON FINITE ELEMENT METHOD基于有限元法的数控机床主轴部件动态分析
11.Mechanical Characteristics Analysis of NC Lathe Spindle by FEM数控车床主轴力学特性的有限元分析方法
12.Recursive PCA algorithm based on rank-one matrix perturbation基于秩-1矩阵摄动的递归主元分析算法
13.Diagnosis based on improved principle component analysis基于改进主元分析的故障诊断方法研究
14.Novel Method of Generating Feature Set Based on the Neural Network and Principal Component Analysis基于神经网络和主元分析的特征集生成方法
15.The Principal Component Analysis of Central Trace Elements in Four Shellfish4种贝类主要微量元素的主成分分析
16.Multivariate Regression Combined with Principal Components Analysis Used to Measure the Importance of Customer Satisfaction Indicators;顾客满意度指标重要性测量的主成分分析与多元回归方法
17.In this paper, we analyzed the sample forced by inter-sand method of centrifugal test.本文主要介绍了埋砂法恒定加速度试验时元器件的受力分析。
18.Investigation and Analysis of Finite Element Analysis for Major Structure of Large-scale Milling Machine;基于有限元法的大型螺杆铣床主要构件的分析与研究

相关短句/例句

principal component analysis(PCA)主元分析法
1.To this question,principal component analysis(PCA) method was used to reorganize the factors.针对这个问题,利用主元分析法将影响因素重组,在此基础上,提出一种基于遗传算法的Elman神经网络模型对铜转炉吹炼终点进行预测。
2.In addition,the Principal Component Analysis(PCA) for feature tra.提出了一种融合静态特征与动态特征的步态识别方法,该算法使用小波矩描述步态序列图像的静态特征,接着使用主元分析法对小波矩进行降维,而图像的动态特征则用人体轮廓的3个宽度特征来描述。
3.Based on the characteristics of the color scanner,the spectral reconstruction of images was studied using the method combining the principal component analysis(PCA) and back-propagation(BP) artificial neural network.针对彩色扫描仪的特点,采用主元分析法(PCA)和反向传播(BP)人工神经网络(ANN)相结合的方法对图像光谱重构进行研究。
3)PCA主元分析法
1.Application of PCA in Color-based Feature Extraction of Image;主元分析法(PCA)在图像颜色特征提取中的应用
2.Takes the safe application of the intelligent mobile phone as its carrier,integrates the advantages of PCA and multi weighted value function neural network for face identification,makes use of nonlinear multi weighted value function neural network to refine multi components,and multi weighted value function neural network face identification.该文以高端智能手机的安全应用为载体,结合主元分析法和多权值函数神经网络在人脸识别中的优势,利用非线性多权值函数神经网络实现多主元提取,以及多权值函数神经网络识别。
3.PCA(Principle Component Analysis) is an effective technique for dimensional reduction and feature extraction.主元分析法是一种有效降低维数和提取特征的方法,在对主元分析法改进的基础上,提出了一种运动目标检测及人脸提取技术。
4)Principle Component Analysis主元分析法
1.Benefiting from the reluctant signal of velocity in the normal servo system,the principle component analysis is introduced to solving the fault of losing co des and pausing codes in the encoder.进而利用一般数控伺服系统中能够提供的速度冗余信号,研究了主元分析法在系统中对编码器丢码、断码故障进行诊断的基本原理和流程。
5)principal component regression analysis主元递归分析法
6)Kernel principal component analysis核主元分析法
1.A nonlinear fault detection method based on kernel principal component analysis (KPCA) is introduced.介绍了一种非线性故障检测方法———核主元分析法(KPCA),通过核函数来完成非线性变换,将变量由非线性的输入空间转换到线性的特征空间。