提出一种基于相空间重构的最小二乘支持向量机(LS - SVM)的股票价格预测方法。
A phase space reconstructed forecasting method of stock price was proposed based on least squares support vector machines (LS-SVM).
本文提出了基于时间窗的最小二乘支持向量机t - S模型在线辨识算法，包括结构辨识和参数辨识。
In the paper online identification based on time window and least square support vector machine (LSSVM) for T-S model is proposed, including structure and parameter identification.
对不同频带的平稳分量建立相应的最小二乘支持向量机预测模型，将各模型的预测值等权求和得到最终预测值。
The different least square support vector machine (LS-SVM) models to forecast each IMF are built up. These forecasting results of each IMF are combined to obtain the final forecasting result.
对原有的最小二乘支持向量机在稀疏性上进行了改进，并通过实验，对改进后的最小二乘支持向量机的分类效果进行了验证。
To conclude a sparse solution, we present an improved algorithm for Least Squares Support Vector Machines, and prove its effect by an experiment.
文中提出了一种基于边界近邻的最小二乘支持向量机，采用寻找边界近邻的方法对训练样本进行修剪，以减少了支持向量的数目。
A new least squares support vector machines based on boundary nearest was proposed, which reduced the number of support vector by using boundary nearest methods pruning the training Sam.
提出了一种最小二乘支持向量机的电池剩余电量预测新模型。
A novel prediction model for remaining capacity of batteries based on least square support vector machine (LS-SVM) was proposed.
提出了一种基于最小二乘支持向量机(LS - SVM)的铁路客运量预测的新方法。
A new prediction approach for railway passenger volume is put forward by means of Least Squares Support Vector Machine (LS-SVM).
在确立了电子政务网站评估指标体系的基础上，建立了基于最小二乘支持向量机(LS-SVM)的电子政务网站评估模型。
An E-government website assessment model based on least squares support vector machines (LS - SVM) is established using the website assessment index system which is established for E-government.
本文主要针对基于最小二乘支持向量机的自适应逆控制方法进行了研究。
An adaptive inverse control method based on Least Squares support vector machine is studied in this paper.
提出了一种基于最小二乘支持向量机(LSSVM)非线性观测器的卫星姿态控制系统故障诊断方法。
A fault diagnosis method for satellite attitude control systems is presented based on least squares support vector machine (LSSVM).
现有最小二乘支持向量机回归的训练和模型输出的计算需要较长的时间，不适合在线实时训练。
Least square support vector machines regression without sparsity needs longer training time currently, and is not adapted to online real-time training.
最小二乘支持向量机相比传统的支持向量机，丧失了解的稀疏性，影响了二次学习的效率。
Compared with the classical Support Vector Machines, the Least Squares Support Vector Machines lose the sparseness, which would influence the efficiency of re-learning.
实现了基于数据挖掘理论和最小二乘支持向量机短时预测的多接口远程智能供水监管系统。
A short-term prediction system based on data mining preparation and least squares support vector machine was presented for a multi-port remote monitoring and management system.
提出一种采用均匀设计与最小二乘支持向量机相结合的电容层析成像传感器结构参数优化方法。
Uniform design and Least Square Support Vector Machines (LS-SVM) were applied to optimize design parameters of capacitance tomography sensors in this paper.
该建模方法通过减聚类方法将输入空间划分为一些小的局部空间，在每个局部空间中用最小二乘支持向量机(LS -SVM)建立子模型。
In this method, subtractive clustering was adopted to divide the input space into several sub-spaces, and sub-models were built by Least Square SVM (ls SVM) in every sub-space.
提出一种用最小二乘支持向量机(LS - SVM)构造函数链接型神经网络(FLANN)逆系统的传感器动态补偿新方法。
A dynamic compensating method for transducers is presented based on functional link artificial neural networks (FLANN) inverse system constructed by least squares-support vector machine (LS-SVM).
提出了基于粒子群算法(PSO)和最小二乘支持向量机(LSSVM)的边坡稳定性评价方法。
A slope stability evaluation method based on particle swarm optimization (PSO) and least square support vector machine (LSSVM) is proposed.
基于贝叶斯证据框架下的最小二乘小波支持向量机，设计了一种新型模拟电路故障诊断方法。
Based on least squares wavelet support vector machines (LS-WSVM) within the Bayesian evidence framework, a systematic method for fault diagnosis of analog circuits was proposed.
最小二乘支持向量机回归预测对训练样本数据区间内的预测精度很高，但是对前向外推预测效果不是很好；
RBF neural network is applied to time series forecast with the same data in order to compare the forecast effect with LS-SVM model.
运用谱系聚类方法解决多核最小二乘支持向量机的解缺乏稀疏性的问题。
The hierarchical clustering method is applied to deal with the problem that the solution of MLS-SVM is lack of sparseness.
针对基态趋势客流预测问题，研究了进行奇异值检测处理并运用最小二乘支持向量机进行预测的解决方案。
In the study of time series forecasting in ground states, the method for recognition and processing singular values is proposed, then LS-SVM is applied to forecast.
结果表明，基于最小二乘支持向量机的飞机备件多元分类方法是有效、可行的。
The results show that the aircraft spare parts multi-class classifier is efficient and feasible.
在具体分析了多种建模方法的基础上，提出了核主元分析结合最小二乘支持向量机软测量建模方法。
On the basis of analysis of several methods for modeling, a soft sensor based on kernel principal component analysis (KPCA) and least square support vector machine (LSSVM) is proposed.
以最小二乘支持向量机为工具，构建了基于功能驱动的产品价格预测模型。
The product price forecasting model based on function-driven was presented by use of LS-SVM.
结果显示，把最小二乘支持向量机回归预测与等步长时序预测相结合的预测方法应用于地下工程围岩位移监测数据的分析及预测是可行的；
Combining the advantages of regression analysis methods and time series forecast model with equal step length, a compound forecasting model was set up , and was tested with engineering data.
同样，基于粗糙集理论对特征集进行约简，在最优决策属性的基础上使用最小二乘支持向量机分类器对流型进行识别。
Similarly, based on rough set theory to feature-set reduction, in the optimal decision based on the use of the property least squares support vector machine classifier to identify the flow pattern.
针对土石坝渗透参数和测压管水位间复杂的非线性关系，应用最小二乘支持向量机于土石坝渗透系数的反演。
In view of complex nonlinear relationship between dam seepage parameters and piezometric tube level, the least squares support vector machine is applied to the back analysis of seepage parameters.
本文研究了基于最小二乘支持向量机的软测量建模方法，并用交叉验证的方法进行支持向量机参数选择。
In this paper, soft sensor modeling method based on Least Square SVM (LS SVM) is proposed, and cross validation method is used to select hyper-parameter of LS SVM model.
本文在研究了众多边缘检测方法的基础上，重点研究了最小二乘支持向量机（LS-SVM）的图像边缘检测技术，提出了一种基于混合核函数最小二乘支持向量机的图像边缘检测方法。
On the basis of studying on least-squares support vector machines (LS-SVM) of the image edge detection technology, Proposed a new method, which is based on mixed Kernel LS-SVM image edge detection.
将基于最小二乘支持向量机的软测量模型应用于轻柴油凝固点的预估。
Soft sensor model based on LS SVM is applied to predication of frozen point of light diesel oil.
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