• The support vector machine (SVM) is an algorithm based on structure risk minimizing principle and high generalization ability.

    支持向量机(SVM)是一种基于结构风险最小化原理,具有很好推广性能的学习算法。

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  • Kernel function is the key technology of SVM, the choice of kernel will affect the learning ability and generalization ability of SVM.

    核函数是SVM的关键技术,核函数的选择将影响着支持向量机的学习能力和泛化能力。

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  • 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。

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  • Support vector machines is a new statistical learning method based on structural risk minimization principle, and it has integrated theory and valid learning generalization ability.

    支持向量机是一种基于结构风险最小原则的新型机器学习方法,具有完备的理论依据和良好的学习泛化能力。

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  • The generalization ability of the network was improved by regularization.

    为了提高网络模型的泛化能力,采用规则化调整的方法。

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  • To enhance the generalization ability of neural networks, an improved method is studied.

    从提高神经网络泛化能力的角度提出一种改进方法。

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  • CMAC is used to assess degradation states quantitatively based on its local generalization ability.

    利用CMAC的局部泛化能力定量地评估设备的性能退化。

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  • SVM has good characteristics of simple structure, global optimum and strong generalization ability.

    支持向量机分类器结构简单、可获得全局最优、泛化能力强。

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  • Its main idea is to control learning machine's generalization ability by controlling its model complexity.

    该理论的核心思想是通过控制学习机器的复杂度,实现对推广能力的控制。

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  • The network possess advanced reasonable construction designs, high accuracy and strong generalization ability.

    该网络结构设计先进合理,精度高,泛化能力强。

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  • The BP neural network is adopted to realize the reinforcement learning to strengthen the generalization ability.

    应用BP神经网络实现强化学习,以增强系统的泛化能力;

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  • Experiment results show its better performance in the efficiency of detecting system and generalization ability.

    实验表明,算法在检测系统效率和推广性方面有较好的表现。

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  • The method can learn smaller trees with lower computational complexity, but its generalization ability is not better.

    用该方法生成的决策树规模小且计算复杂度低,但是泛化能力不佳。

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  • SVM can solve small sample problems and has good generalization ability using the principles of structural risk minimization.

    支持向量机基于结构风险最小化原则,解决了小样本数据分类和泛化问题。

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  • The experimental results show that the whole target identification system has a relatively simple structure and good generalization ability.

    实验结果表明,整个目标识别系统的结构简单,同时具有较好的推广能力。

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  • SVM has been wildly used for object detection and recognition for the past decades, because of its good generalization ability and performance.

    近十年来,支持向量机因其通用性和良好的性能,被广泛地用于对象检测与识别。

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  • The fundamental issue for classification problem caring about is how to effectively improve the generalization ability of the classification system.

    分类所关心的一个根本问题是如何有效地提高分类系统的泛化能力。

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  • This paper proposed a selective Support Vector Machine (SVM) ensemble algorithm based on double disturbance to improve the generalization ability of SVM.

    为了进一步提升支持向量机泛化性能,提出一种基于双重扰动的选择性支持向量机集成算法。

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  • Simulation results show that LS-SVM reduces calculating complexity with high calculating speed. And it also has good generalization ability with small sample.

    仿真结果表明,最小二乘支持向量机降低了计算复杂度,且有较快计算速度,在小样本情况下具有良好的泛化能力;

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  • The high generalization ability of Support Vector Machine (SVM) makes it especially suitable for the classification of high-dimension data such as term-document.

    支持向量机(SVM)高度的泛化能力使它特别适用于高维数据例如文档的分类。

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  • The constringency speed and generalization ability of optimized BPNN model are better than that of simple BPNN model, and the simulation result is close to reality.

    遗传算法优化的BP神经网络在收敛速度和泛化能力上都较简单的BP神经网络要好,模拟结果更接近于真实值。

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  • The simulation results show that the network has excellent learning capacities and generalization ability. Therefore the model is a new effective approach for BTP prediction.

    通过现场采集数据对该模型进行仿真,其实验结果表明,该模型具有较好的学习能力和泛化能力,为烧结终点的预测提供了一种新的解决方法。

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  • Experiment results show that the method based on DAGSVM is feasible. The method has strong generalization ability and can improve the accuracy of signal sorting and recognition.

    实验结果表明,使用DAGSVM这种方法是可行的,该方法具有较强的泛化性能,明显地提高了信号分选识别的准确性。

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  • The experimental results show that this method leads to statistical models with better generalization ability, which is useful for cardiac image segmentation and motion analysis.

    实验结果表明,该方法可有效提高统计模型的泛化能力,并实现对心室结构的分割和运动跟踪。

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  • In the calculation example, the real data were used for the dynamic modeling of the load, and the results show that the load model is accurate and has high generalization ability.

    算例中利用实测数据进行负荷动态建模,结果表明可得到精度和泛化能力都较高的负荷模型,在电力负荷建模方面具有广泛的应用价值。

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  • Through the analysis of the output of training and testing samples, we could draw a conclusion that this system is characterized by higher precision and good generalization ability.

    通过系统对训练样本和测试样本的输出,可以看出:系统具有较高的精度和泛化能力。

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  • Meanwhile some research achievements had been summarized about approaching and generalization ability of the multilayer forward neural network, which was rationale for the next modeling.

    同时总结了有关多层前向网络逼近能力和泛化能力的一些研究成果,作为后续建模工作的理论依据。

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  • The modeling results indicated that the RBFN is much better than the BPN on learning speed, prediction accuracy and generalization ability. The paper provides a reference for GRW design.

    结果表明径向基函数网络在学习速度,预测准确性及网络推广能力方面均优于BP网络,本文方法可用于加筋支挡结构的设计参考。

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  • The modeling results indicated that the RBFN is much better than the BPN on learning speed, prediction accuracy and generalization ability. The paper provides a reference for GRW design.

    结果表明径向基函数网络在学习速度,预测准确性及网络推广能力方面均优于BP网络,本文方法可用于加筋支挡结构的设计参考。

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