Least square support vector machine (LS-SVM) is used to predict the trend of the aircraft flap system.
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。
A novel prediction model for remaining capacity of batteries based on least square support vector machine (LS-SVM) was proposed.
提出了一种最小二乘支持向量机的电池剩余电量预测新模型。
This paper proposes a noise reduction method to DCSK communications system using weighted least square support vector machine (WLS-SVM).
本文提出了基于加权最小二乘支撑矢量机(WLS - SVM)学习算法的一种DCSK混沌通信系统降噪方法。
A slope stability evaluation method based on particle swarm optimization (PSO) and least square support vector machine (LSSVM) is proposed.
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 new predictive control method based on least square support vector machine is proposed in order to control mold level of the continuous casting.
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。
The features of two methods, i. e. least square support vector machine (LSSVM) and generalized regression neural network (GRNN) are compared and analyzed.
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。
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.
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。
A novel prediction model for hydraulic performance of trickle irrigation emitter based on modi? Fied PSO least square support vector machine is proposed and verified by experiment.
将基于改进粒子群优化最小二乘支持向量机的预测模型引入滴头水力性能预测领域，对所建立的滴头水性能预测模型分别从理论和试验两方面进行验证。
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.
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。
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.
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。
This paper try to predict soil erosion with the Least Square support vector machine technology and the better predict precision compared to the BP artificial neural network has been gotten.
首次尝试将最小二乘支持向量机技术用于土壤侵蚀预测，并与BP神经网络的方法进行了对比，取得了较好的预测精度。
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。
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