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- 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。
- In this paper, the authors present a method combined rough set (RS) with least square support vector regression (LS-SVR). 摘要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。
- Least square support vector machines regression without sparsity needs longer training time currently, and is not adapted to online real-time training. 摘要现有最小二乘支持向量机回归的训练和模型输出的计算需要较长的时间，不适合在线实时训练。
- Aiming at the measure of cement clinker quality index, a soft-sensor modeling method is presented based on least square support vector machine (LSSVM). 摘要针对水泥熟料质量指标的测量，提出一种基于最小二乘支持向量机的软测量建模方法；
- By analyzing multiple attribute decision making (MADM) problem, the paper proposed a method for solving MADM based on least square support vector machine. 摘要分析多属性决策问题，提出了基于最小二乘支持向量机的多属性决策方法。
- A novel prediction model for hydrogen content in molten aluminum at different temperatures and holding times 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铝熔体在不同温度和保温时间下的氢含量预测新模型。
- In order to improve forecast precision,a hybrid forecasting method based on Empirical Mode Decomposition(EMD) and Least Square Support Vector Machine(LS-SVM) is presented in this paper. 为了进行有效的预测,提高预测精度,提出将经验模式分解EMD(Empirical Mode Decomposition)和最小二乘支持向量机LS-SVM(Least Square Support Vector Machine)相结合对短期负荷进行预测。
- A method for the rapid identification of the genuineness of Chinese medicines based on near infrared (NIR) spectroscopy and least square support vector machines (LSSVM) was proposed. 摘要将最小二乘支持向量机(LSSVM)用于近红外(NIR)光谱分析，建立一种新型的NIR光谱快速鉴别方法。
- A fuzzy membership model based on support vector data description is proposed to fuzzify all the training data.Then the model is introduced into least square support vector machines (LS-SVM). 将模糊隶属度概念引入最小二乘支持向量机，提出一种基于支持向量数据域描述的模糊隶属度函数模型，将输入空间中的样本映射到一个高维的特征空间；
- 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。
- least square support vector machine 最小二乘支持向量机
- least square support vector machines 最小二乘支持向量机
- 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 square support vector machine (LSSVM) 最小二乘支持向量机
