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- A method is proposed to construct sparse least squares support vector machines (LSSVMs). 摘要提出一种构造稀疏化最小二乘支持向量机的方法。
- Adaptive and Iterative Least Squares Support Vector Regression Based on Quadratic Renyi Entropy. Jingqing Jiang(姜静清) ; Chuyi Song ; Haiyan Zhao ; Chunguo Wu and Yanchun Liang.
- A nonlinear predictive control algorithm based on least squares support vector machines (LS-SVM) model was proposed. 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。
- SUYKENS J,De BRABANTER J.Weighted least squares support vector machines:robustness and sparse approximation[J].Neurocomputing,2002,48(1):85-105. 陈念贻叶晨洲等.;支持向量机及其他核函数算法在化学计量学中的应用[J]
- Abstract A least squares support vector machine（LS-SVM）model is developed and applied in the prediction of sinter basicity. 摘要 开发了最小二乘支持向量机（LS-SVM）模型，并用于对烧结矿碱度进行预测。
- Compared with the classical Support Vector Machines, the Least Squares Support Vector Machines lose the sparseness, which would influence the efficiency of re-learning. 摘要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。
- Least squares support vector machines (LS-SVM) is used to solve the multi-input and single output (MISO) modeling problem of lithopone calcination process in rotary kiln. 摘要将LS-SVM非线性建模思想应用于锌钡白转窑煆烧过程的MISO系统建模。
- To achieve a sparse solution for least squares support vector regression (LS-SVM), an algorithm called vector base learning (VBL) is proposed in this paper. 摘要为使最小二乘支持向量机的解具有稀疏性，本文提出了一种稀疏解算法-矢量基学习。
- A predictive control algorithm based on least squares support vector machines (LS-SVM) model for a family of complex systems with strong nonlinearity is presented. 摘要针对工业过程中普遍存在的非线性被控对象，提出一种基于最小二乘支持向量机建模的预测控制算法。
- To improve the prediction accuracy of the flow stress,a hybrid model based on the Hybrid Least Squares Support Vector Machine(HLS-SVM) and Mathematical Models(MM) was proposed. 为提高变形抗力的预测精度,提出了一种基于混合最小二乘支持向量机和数学模型的组合方法。
- Based on the inverse dynamic model acquired, a control algorithm based on recursive least squares support vector machine (RLS-SVM) of inverse dynamics was de. 建立热力系统逆动力学过程模型是热力系统逆动力学研究及应用的关键。
- XiangZheng，Zhang Taiyi, Sun jiancheng.Noise Reduction for Fast Fading Channel by Recurrent Least Squares Support Vector Machines in Embedding Phase Spaces[J]. 相征，张太镒，孙建成.;基于最小二乘支持向量机的快衰落信道预测算法[J]
- An new method for fast fading channel prediction using Recurrent Least Squares Support Vector Machines (RLS-SVM) combined with reconstructed embedding phase space is investigated. 该文探讨了利用相空间重构和支持向量机进行衰落信道非线性预测算法。
- To improve the prediction accuracy of the flow stress, a hybrid model baaed on the Hybrid Least Squares Support Vector Machine (HLS-SVM) and Mathematical Models (MM) was proposed. 摘要为提高变形抗力的预测精度，提出了一种基于混合最小二乘支持向量机和数学模型的组合方法。
- A new method was proposed for on-line voidage measurement of oil-gas two phase flow based on 12 electrode electrical capacitance tomography (ECT) and least squares support vector machine (LSSVM). 摘要基于12电极电容层析成像(ECT)和最小二乘支持向量机(LS-SVM)，提出了一种油气两相流空隙率在线测量的新方法。
- A new classifying prediction method based on least squares support vector machines is proposed for the problem of classification with uneven class sizes and different costs of misclassification. 摘要针对不同类别样本数差异和不同误分代价的分类问题，提出了一种基于最小二乘加权支持向量机的分类预测方法。
- 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). 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。
- In this paper,the authors present a method combined rough set(RS) with least square support vector regression(LS-SVR). 该文提出结合粗糙集(RS)和最小二乘支持向量回归(LS-SVR)的方法。
- A new time series prediction method was put forward, based on fuzzy least square support vector machine (FLS-SVM). 摘要提出了一种基于隶属度模糊最小二乘支持向量机(FLS-SVM)的时间序列预测新方法。
- The theory of least square support vector machine was introduced.The LS-SVM model was set up to predict PMV. 摘要介绍了一种新型的机器学习算法-最小二乘支持向量机的原理，并针对预测PMV指标建立了最小二乘支持向量机预测模型。
