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.
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.
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。
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.
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.
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.
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.
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.
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。
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。
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.
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