1)NNPLS神经网络偏最小二乘法
1.Compared with PLS and NN,the NNPLS method can achieve higher imitating precision and smaller prediction errors.分析了顾客满意度测评模型中各变量间存在的非线性关系,将神经网络偏最小二乘法(NNPLS)应用到顾客满意度测评中。
2.NNPLS is used to establish a number of non-linear model in different operating conditions and the whole non-linear system.该方法基于有源自回归(Auto-Re-gressive with extra inputs,ARX)模型与模糊C-均值(Fuzzy C-Means,FCM)聚类方法识别操作工况,在不同操作工况分别采用神经网络偏最小二乘法NNPLS(Neural Net Partial Least Square),建立多个非线性子模型拟和系统全局非线性。
2)partial least squares regression and neural network偏最小二乘神经网络
1.This paper proposes a partial least squares regression and neural network model(PLSNN) to solve the problem.针对致密储层中气水干层识别和产能预测准确率较低这一难题,提出偏最小二乘神经网络方法:用偏最小二乘方法对输入自变量集进行主成分提取预处理,消除重叠的输入信息,用可变学习速率反向传播算法(VLBP)和附加动量方法(AMOBP)构建BP储层识别和产能预测的网络模型。
英文短句/例句
1.The Application of Partial Least Squares Regression and Neural Network Model to Predicting Construction Project Cost;偏最小二乘神经网络在建筑造价预测中的应用
2.Natural Gas Price Forecasting Research Based on Market Economics;市场经济下天然气价格预测研究——偏最小二乘神经网络模型（PLSNN）应用
3.Application of Partial Least Squares and Artificial Neural Network in Predicting of Hardenability of Boron Steels;偏最小二乘法和人工神经网络在硼钢淬透性预测中的应用研究
4.Application of NNPLS analysis in QSDR studies神经网络偏最小二乘在预测含能材料爆轰性能方面的应用
5.Fault Diagnosis of Gearbox Based on Partial Least Squares Regression and Artificial Neural Network基于偏最小二乘回归和人工神经网络的齿轮箱故障诊断
6.Bayesian Regularization Neural Network Ensemble Model Based on Partial Least Squares Regression and Its Application in Stock Market;偏最小二乘回归的贝叶斯正则化神经网络集成模型在证券分析预测中的应用
7.Improvement and Application of Back Propagation Network Based on Partial Least- Squares Algorithm;基于偏最小二乘的BP网络模型及其应用
8.Modeling of Gene Networks Using Partial Least Square Method基于偏最小二乘回归的基因网络数学建模
9.Study on Soft-Sensing Technology's Application Base on ANN and LSSVM;基于神经网络和最小二乘支持向量机的软测量技术应用研究
10.Gauss function is used as neural network's inspirit function , and least square rule is used to recognize the character.使用了高斯函数作为神经网络的激励函数,并以最小二乘准则对字符进行识别。
11.Improved RLS algorithm for nonlinear time-varying system identification based on feed forward neural networks基于前向神经网络的非线性时变系统辨识的改进递推最小二乘算法
12.PLS Regression Analysis of Economic Environment Factors of Urban Insurance Development;城市保险业经济环境指标的偏最小二乘分析
13.A SIMPLE PARTIAL LEAST SQUARES ALGORITHM BASED ON LEAST ABSOLUTE DEVIATION基于最小一乘的单因变量偏最小二乘算法
14.Estimation of Parameter Errors in Power System Network Based on LeastSquare Method基于最小二乘法的电力系统网络参数误差估计
15.Application of Partial Least Squares Regression on Water Supply Network Operating State Simulating偏最小二乘法(PLS)在供水管网运行状态模拟中的应用
16.The PLS Variable Selection Method and Its Application;偏最小二乘变量筛选法及其应用研究
17.Data Analysis Based on Hierarchical Partial Least-squares Regression;基于递阶偏最小二乘回归的数据分析
18.A Study on China s Non-governmental Investment Based on Partial Least-Square Regression Approach;我国民间投资的偏最小二乘回归研究
相关短句/例句
partial least squares regression and neural network偏最小二乘神经网络
1.This paper proposes a partial least squares regression and neural network model(PLSNN) to solve the problem.针对致密储层中气水干层识别和产能预测准确率较低这一难题,提出偏最小二乘神经网络方法:用偏最小二乘方法对输入自变量集进行主成分提取预处理,消除重叠的输入信息,用可变学习速率反向传播算法(VLBP)和附加动量方法(AMOBP)构建BP储层识别和产能预测的网络模型。
3)netural network partial least squares神经网络偏最小二乘
1.The methods have been developed for model construction of quantitative structure-detonation relationship by combining netural network partial least squares with genetic algorithms and principal component analysis respectively.运用神经网络偏最小二乘分别与遗传算法和主成分分析相结合,以含能材料的结构描述符和爆轰性能等参数,建立了"分子结构-爆轰性能"之间的定量关系预测模型,并对30种含能材料的密度和理论爆速进行了预测,其相对误差均在5%以下。
4)PLS BP偏最小二乘法-BP神经网络
5)Least Squares-Neural Network最小二乘神经网络
1.Information Extraction Based on Semantic Tagging and Least Squares-Neural Network;基于语义标注和最小二乘神经网络的信息抽取
6)Neural Net-Partial Least Squares(NNPLS)神经网络部分最小二乘
延伸阅读
偏最小二乘法分子式：CAS号：性质：一种基于特征变量的回归方法。也可看成是有偏估计中的一种回归方法。近年来在化学计量学的多元校正和模式识别中得到十分广泛的应用。偏最小二乘法是由瑞典统计学家沃尔德（H·Wold）提出，其基本运算是基于非线性迭代偏最小二剩算法（nonlinear iterative partial least squares; NIPALS），故有偏最小二乘法之称。它与主成分回归不同之点就在于它不但分解X矩阵，同时也分解Y矩阵，并在分解X矩阵时利用Y矩阵的信息，在分解Y矩阵时利用X矩阵的信息，从而使回归结果更好些。另外，因其本质上是一种基于特征变量的解析方法，故也可用于化学模式识别之中，进行降维处理。由于偏最小二乘法在化学中得到非常广泛的应用，故很多化学计量学家对该算法进行了改进和拓展，提出了快速偏最小二乘、非线性偏最小二乘法、稳健偏最小二乘法等。
