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.
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).
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.
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.
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.
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.
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.
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.
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).
基于最小二乘支持向量机的船舶航向预测控制系统对外界干扰及模型参数摄动均具有较好的适应能力以及良好的控制性能。
Model predictive control with least squares support vector machine (LS-SVM) has good control performance on the ship course even under the condition of disturbance and model parameter perturbation.
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.
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.
并且采用了最小二乘支持向量机，用等式约束取代了支持向量机中的不等式约束，降低了运算量，提高了学习效率。
The LS-SVM classifier is adopted, which replaces inequality constraints in SVM by equality constraints. So the computation consumption is reduced and the learning performance is improved.
并且采用了最小二乘支持向量机，用等式约束取代了支持向量机中的不等式约束，降低了运算量，提高了学习效率。
The LS-SVM classifier is adopted, which replaces inequality constraints in SVM by equality constraints. So the computation consumption is reduced and the learning performance is improved.
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