最小二乘支持向量机回归,least squares support vector regression
1)least squares support vector regression最小二乘支持向量机回归
1.Adaptive local learning basedleast squares support vector regression with application to online modeling for fermentation processes;用于发酵过程在线建模的自适应局部最小二乘支持向量机回归方法
英文短句/例句
1.Implementation of Least Square Support Vector Machine for Prediction最小二乘支持向量机回归预测模型研究与实现
2.Adaptive Weighted Least Square Support Vector Machine Regression and Its Application自适应加权最小二乘支持向量机回归及应用
3.An improved online least squares support vector machines regression algorithm一种改进的在线最小二乘支持向量机回归算法
4.Predicting into Regional Logistics Volume Based on Partial Least-squares Support Vector Machines Regression;基于偏最小二乘支持向量机回归区域物流量预测
5.Study on Generalized Chromosome Genetic Algorithm and Iterative Least Squares Support Vector Machine Regression;广义染色体遗传算法与迭代式最小二乘支持向量机回归算法研究
6.The Support Vector Regression Method for Structural Damage Detection;结构损伤检测的最小二乘支持向量机回归方法研究
7.Signal Regression Based on Least Square Reproducing Kernel Support Vector Machine;基于最小二乘再生核支持向量机的信号回归
8.Thin wall tube method based sparse least squares support vector regression基于薄壁管法的稀疏最小二乘支持向量回归机
9.Aeroengine thrust estimation using least squares support vector regression machine最小二乘支持向量回归机在发动机推力估计中的应用
10.ONLINE PARSIMONIOUS LEAST SQUARES SUPPORT VECTOR REGRESSION AND ITS APPLICATION在线稀疏最小二乘支持向量回归机及其应用(英文)
11.A Support Vector Machine Regression Algorithm based on Partial Least Squares Feature Extraction基于偏最小二乘特征提取的支持向量机回归算法
12.Forecasting fouling characteristics of plain tube based on least squares-support vector machine for regression基于最小二乘支持向量回归机的光管污垢特性预测
13.Target localization in wireless sensor networks based on LSSVR基于最小二乘支持向量回归机的无线传感器网络目标定位法
14.Improved pruning algorithms for sparse least squares support vector regression machine关于稀疏最小二乘支持向量回归机的改进剪枝算法
15.State Prediction of Slagging on Coal-fired Boilers Based on Least Squares-support Vector Machine for Regression基于最小二乘支持向量回归机的燃煤锅炉结渣特性预测
16.Sparse Least Squares Support Vector Regression Machine Based on the Scale of Linear Independency基于线性无关度的稀疏最小二乘支持向量回归机
17.Experiments on nonlinear time series prediction with least square support vector regression machine最小二乘回归支持向量机对非线性时间序列预测的试验分析
18.Salt & Pepper Noise Switching Filter Based On LS-SVR Convolution Mask基于回归型最小二乘支持向量机卷积模板的椒盐噪声开关滤波器
相关短句/例句
Least squares support vector regression最小二乘支持向量回归
1.A least squares support vector regression(LS-SVR) model for the condenser vacuum on-line monitoring was built from external factors,which provided the vacuum target value under the condition of current external environment for operators.将影响凝汽器真空的因素分为内部因素和外部因素,从外部因素出发,建立了最小二乘支持向量回归模型,用于凝汽器真空实时在线监测,为运行人员提供了当前外部环境下凝汽器真空目标值;通过对凝汽器运行状态的量化评估,为凝汽器的检修提供了依据。
2.Similarity association rules parameters was found through PCA and a least squares support vector regression(LS-SVR) model that detects sensor fault was built.提出了基于主成分分析的相似关联规则的数据挖掘方法,并利用最小二乘支持向量回归方法对传感器进行故障检测。
3)Least Square-Wavelet Support Vector regression最小二乘小波支持向量回归机
4)least square support vector regression (LSSVR)最小二乘支持向量机回归(LSSVR)
5)local least squares support vector regression局部最小二乘支持向量机回归
6)least square support vector regression(LSSVR)最小二乘回归型支持向量机
1.The residual error generator of system is designed based on least square support vector regression(LSSVR),and the parameters of LSSVR are optimized by genetic algorithm(GA).设计了基于最小二乘回归型支持向量机(LSSVR)的系统残差生成器,并引入遗传算法(GA)对LSSVR的参数进行优化,通过残差生成器生成的残差可以对系统状态进行有效识别。
延伸阅读
支持向量机方法支持向量机(SVM)是90年代中期发展起来的基于统计学习理论的一种机器学习方法，通过寻求结构化风险最小来提高学习机泛化能力，实现经验风险和置信范围的最小化，从而达到在统计样本量较少的情况下，亦能获得良好统计规律的目的。支持向量机算法是一个凸二次优化问题,能够保证找到的极值解就是全局最优解，是神经网络领域域取得的一项重大突破。与神经网络相比，它的优点是训练算法中不存在局部极小值问题，可以自动设计模型复杂度(例如隐层节点数)，不存在维数灾难问题，泛化能力强。
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