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- least support vector machines 最小二乘支持向量机
- 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。
- 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。
- 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。
- 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]
- 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。
- 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。
- 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。
- The hyperplane revises the error of the standard Support Vector Machines. 该分类面校正了标准的支持向量机的分类误差。
- Based on least squares wavelet support vector machines (LS-WSVM) within the Bayesian evidence framework, a systematic method for fault diagnosis of analog circuits was proposed. 基于贝叶斯证据框架下的最小二乘小波支持向量机,设计了一种新型模拟电路故障诊断方法。
- 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 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 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。
- Karhunen-Loeve transform is employed to get the representation basis of face image set, then use support vector machines to recognize. 摘要利用K-L变换首先对人脸图像进行特征参数提取,再利用支持向量机进行识别。
- 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。
- A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed. 摘要提出了一种新的基于壳向量的增量式支持向量机快速学习算法。
- The separating hyperplane of traditional support vector machines is sensitive to noises and outliers. 摘要传统的支持向量机分类超平面对噪声和野值非常敏感。
- Wavelet and support vector machine are used to classify the audio clips. 使用小波变换和支持向量机的方法对音频进行分类。