介绍了最小二乘支持向量机计算法和滑动时间窗的建立。
The establishment of beast square support vector machine method and sliding time window is introduced.
将最小二乘支持向量机引入到小字符集压印字符识别中。
This paper presents an application of least squares support vector machines in small-set pressed protuberant character recognition.
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.
提出一种基于最小二乘支持向量机的福建省GDP预测方法。
A method of forecasting Fujian GDP was recommended based on least squares support vector machine (LS-SVM).
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.
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.
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.
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 (LS-SVM) is studied in this paper.
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.
将最小二乘支持向量机(LS - SVM)应用于飞机襟翼状态趋势研究。
Least square support vector machine (LS-SVM) is used to predict the trend of the aircraft flap system.
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.
提出一种基于最小二乘支持向量机(LS - SVM)的非线性系统预测控制算法。
A nonlinear predictive control algorithm based on least squares support vector machines (LS-SVM) model 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).
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.
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.
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).
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.
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.
初始过程的逆模型，建立了基于最小二乘支持向量机，并通过剪枝算法将支持向量的数量减少。
The initial inverse model of process is built based on least squares support vector machine, and the Numbers of support vector is reduced through pruning algorithm.
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.
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.
针对木材干燥系统强耦合非线性的特性，提出了一种基于小波最小二乘支持向量机的预测控制方法。
Aiming at the strongly coupling nonlinear characteristics of the timber desiccation system, the predictive control method based on wavelet least square support vector machine is proposed.
论文围绕最小二乘支持向量机ls - SVM在变压器故障诊断、故障预测中的应用进行了研究。
In this article, it is studied for the application of least squares support vector machine LS-SVM in the transformer fault diagnosis and prediction.
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).
比较分析了最小二乘支持向量机（LSSVM）和广义回归神经网络（GRNN）这两种方法的特点。
The features of two methods, i. e. least square support vector machine (LSSVM) and generalized regression neural network (GRNN) are compared and analyzed.
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.
针对连铸过程的结晶器液面控制问题，提出了基于最小二乘支持向量机技术的预测模型的预测控制方法。
A new predictive control method based on least square support vector machine is proposed in order to control mold level of the continuous casting.
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.
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.
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.
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