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1)  support vector regression
支持向量回归
1.
Using support vector regression for QSPR of herbicidal l,4,2-diazaphospholidin-5-(thi) one-2-oxides;
支持向量回归方法用于1,4,2-二氮磷杂环戊-5-(硫)酮类化合物除草活性的QSPR研究(英文)
2.
Conical thread detection based on support vector regression;
基于支持向量回归的圆锥螺纹检测
3.
UV spectrometry and support vector regression for simultaneous determination of paracetamol,aspirin and caffeine;
支持向量回归-紫外分光光度法用于测量小儿氨酚匹林咖啡因片含量的方法研究
2)  support vector regression(SVR)
支持向量回归
1.
The support vector regression(SVR) algorithm has been introduced into parameters identification of numerical model in geotechnical engineering to take advantage of its merits such as small sample,good generalization and global optimization.
支持向量回归(SVR)算法引入岩土工程数值计算模型参数的辨识中可以充分发挥SVR算法的小样本、泛化性好和全局最优化的优点。
2.
A prediction modelling method was proposed for non-linear and non-stationary time series,based on empirical mode decomposition(EMD) and support vector regression(SVR).
提出了一种基于经验模式分解和支持向量回归的非线性、非平稳时间序列预测建模方法。
3.
Inspired by the advantage of local learning and support vector regression(SVR) dealing with finite data,locally weighted SVR(LW-SVR) is adopted to implement the case-based learning.
由于支持向量回归(SVR)在处理小样本问题的优越性并受局部学习思想的启发,采用局部加权SVR(LW-SVR)实现案例学习。
3)  SVR
支持向量回归
1.
Discussing the model about macro load-forecasting in the mass and related matters, the paper introduce support vector regression(SVR) to solve load-forecasting.
分析了电力负荷宏观预测的模型和相关技术,引入支持向量回归方法(SVR)解决问题,并通过计算实例,比较分析了SVR与神经网络方法用于预测的效果,提出SVR广阔应用前景。
2.
In the third part, the Chinese speech s super-segmental features is regulated with the SVR(Support Vector Regression) and the TD-PSOLA(Time-Domain.
提出的适用于汉语说话人的变换算法分为3个部分:前两部分用高斯混合模型实现了语音的谱包络(线性预测编码)及其激励(残差)的转换;第三部分采用支持向量回归算法实现语音的韵律变换规则建模,结合汉语语音特点利用基音同步叠加算法实现语音的超音段特征调整。
3.
Tracking random targets with Support Vector Regression (SVR) is studied and compared with the Least Square (LS) estimate in this paper .
本文研究了支持向量回归(SVR)在机动目标跟踪中的应用,并与传统回归方法最小二乘法(LS)进行了比较。
4)  support vector regression (SVR)
支持向量回归
1.
Considering the favorable performance of support vector machines (SVM) in the respect of machine learning, a seepage-monitoring model based on support vector regression (SVR) is put forward.
鉴于支持向量机在机器学习方面表现出的良好性能,提出了基于支持向量回归(SVR)算法的贮灰坝渗流监测模型。
2.
This new method is applied in the study of multimedia interaction and in predicting the mouth movement by speech based on support vector regression (SVR) .
将这一新的统计学习方法应用到多媒体交互作用的研究中,用支持向量回归的方法由语音预测唇动参数。
5)  support vector machine regression
支持向量机回归
1.
Nonlinear combined prediction of port throughput based on support vector machine regression;
基于支持向量机回归的港口吞吐量非线性组合预测
2.
To improve the predication precision in quantitative structure-activity relationship(QSAR) research,a novel nonlinear combinatorial forecast method based on support vector machine regression and k-near neighbor group was proposed.
为提高定量构效关系(QSAR)研究的预测精度,发展了一种新的基于支持向量机回归(SVR)非线性筛选分子结构描述符、基于k-近邻群的非线性组合预测方法。
3.
Based on the support vector machine regression approximating the limit state function,a procedure is presented to analyze the reliability and corresponding sensitivity of the structural system.
提出了一种基于支持向量机回归近似极限状态方程的系统可靠性分析方法,所提方法首先由支持向量机拟合系统各失效模式的极限状态方程,将复杂或隐式极限状态方程近似等价为显式极限状态方程,然后根据系统各个失效模式的逻辑结构,由高精度的显式极限状态方程方法计算系统的失效概率和参数灵敏度。
6)  support vector regression
支持向量机回归
1.
Using support vector regression for QSAR study on the aldose reductase inhibitory activity of some flavones;
支持向量机回归方法用于黄酮类化合物醛糖还原酶抑制活性的QSAR研究
2.
A recommendation algorithm based on Support Vector Regression;
一种基于支持向量机回归的推荐算法
3.
GPS elevation transform model based on least squares support vector regression;
基于最小二乘支持向量机回归的GPS高程转换模型
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