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- The structure of WNN is trained using Structural Risk Minimization(SR... 实验结果表明,该预测模型具有预测精度高,使用方便等优点。
- A method of outlier detection in re-gression is proposed making use of the character of structure risk function and KT condition in support vector regres-sion in this paper. 该文利用支持向量回归算法中结构风险函数的性质以及KT条件,提出一种回归中的异常值检测方法。
- The method takes advantages of the minimum structure risk of SVM and the quickly globally optimizing ability of PSO for soft sensor modeling. 该方法利用支持向量机结构风险最小化原则和PSO算法快速全局优化的特点,用于软测量建模。
- The model can minimize the regularized structure risk summation of all outputs, and it can select different kernel functions and model parameters for different outputs. 在一个优化问题中,该模型能最小化所有输出带正则项的结构风险总和,并能为不同输出选择不同的核函数及模型参数。
- Weighted Partial Least-Squared (WPLS) method was proposed to achieve Structure Risk Minimization (SRM) in the Partial Least-Squares (PLS) modeling process. 摘要为了在偏最小二乘法(PLS)建模过程中实现结构风险最小化(SRM),提出基于结构风险最小化的加权偏最小二乘法(WPLS)。
- A much greater structural risk occurs in temperate and tropical areas. 在温带和热带地区会出现更大的结构风险。
- Support vector machine (SVM) is a novel learning technique based on the principles of structure risk minimization and very good application potentialities has been shown in classification and regression. 支持向量机是一种基于结构风险最小化原理的新一代机器学习方法,在分类和回归估计方面已显示出了很好的应用前景。
- This method can be used to small scale recognition, like artificial neural networks, but it has stronger generalization ability because the support vector machine theory is based on the minimization principle to structure risk. 该方法与人工神经网络一样适用予小规模分类,但由于支持向量机依据结构风险最小化原则,因此泛化能力更强。
- An algorithm is presented through using structural risk minimization (SRM) based on statistical learning theory. 在研究统计学理论的基础上,提出了以结构风险最小化为目标的训练方法。
- Support vector machine is a learning technique based on the structural risk minimization principle as well as a new regression method with good generalization ability. 支持向量机是一种基于结构风险最小化原理的学习技术,也是一种新的具有很好泛化性能的回归方法。
- Support vector machine(SVM) is a novel and powerful learning method which is derived based on statistical learning theory(SLT) and the structural risk minimization principle. 建立在统计学习理论基础之上的支持向量机(SVM),是一种基于结构风险最小的小样本机器学习方法。
- An advanced subspace-partition based fuzzy system model (SPFS) is proposed to realize structural risk minimization (SRM) in the modeling of fuzzy system. 摘要针对模糊系统建模过程中实现结构风险最小化问题,提出改进的基于子空间划分的模糊系统模型(SPFS)。
- Support vector machine (SVM) is a technique of classification based on the structural risk minimization principle, and a regression method with fine ability of generalization. 摘要支持向量机(SVM)是一种基于结构风险最小化原理的分类技术,也是一种具有很好泛化性能的回归分析方法。
- The two halves of the structure didn't marry up. 该结构的两部分未配合好。
- Support vector machine (SVM) is a learning algorithm based on structural risk minimization (SRM), it is a good regression way, which has good generalization ability also. 支持向量机(SVM)是一种基于结构风险最小化原理(SRM)的学习算法,也是一种具有很好的泛化性能的回归方法。
- Structure Risk Minimization Principle 结构风险最小化原则
- High winds put great stress on the structure. 大风作用于该建筑物上而产生巨大的应力。
- The structure had keeled over in the high winds. 那座建筑物让大风给刮倒了。
- A fan-shaped anatomical structure. 扇形器官扇形的解剖结构
- Structure Risk Minimization (SRM) 结构风险最小化
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