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feature vector相关的网络例句

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与 feature vector 相关的网络例句 [注:此内容来源于网络,仅供参考]

However, Grassmanns system is so abstract and far away from the tradition as not to be understood. Its influence on the foundation of modern vector analysis is not as it should have impacted although it does affect on the axiomatization of vector theory.

遗憾的是,由于格拉斯曼的系统内容过于抽象和偏离传统而难为时人理解,它对现代向量理论的创立没有起到应有的作用,但格拉斯曼的工作却对向量的公理化具有较大影响。

However, Grassmann's system is so abstract and far away from the tradition as not to be understood. Its influence on the foundation of modern vector analysis is not as it should have impacted although it does affect on the axiomatization of vector theory.

遗憾的是,由于格拉斯曼的系统内容过于抽象和偏离传统而难为时人理解,它对现代向量理论的创立没有起到应有的作用,但格拉斯曼的工作却对向量的公理化具有较大影响。

Further more, a new Vector Base Learning network is proposed which is based on the concept of Base Vector Set and Network Base .

同时总结了算法具有小样本、可控的推广能力、鲁棒性和快速性等良好的工程特性。

This thesis has established the mathematical model of n-phase PMSM after thorough analysis of PMSM structure and running mode, and then put forward the vector transform method, which is as the base of vector control.

建立完善的多相化永磁同步电动机及控制系统的数学模型和分析方法是系统研究和实现的重要技术保证。

The fuzzy base function vector is introduced to approximate the upper bound of the uncertain vector.

在该方法中,利用模糊基函数网络在线学习系统不确定向量的上界。

Multilevel decomposition and reconstruction of vector product wavelet transform are disscussed on the basis of vector wavelet.

并讨论了与此有关的矢量积小波变换的多级分解和重构。

To start, select any non zero vector in S, say (2,-3, 5), to a vector in the basis.

先由 (2,-3, 5)出发,逐一确认可以加进构成基底之向。

Support vector machines can achieve good performance when applied to small samples pattern recognition problems. The basis support vector machine is designed for two-class problem.

支持向量机方法是专门针对小样本情况的,其目标是得到现有信息下的最优解而不仅仅是样本数趋于无穷大时的最优值。

This paper proposes one kind of network intrusion and abnormal detection models on the basis of a network supporting vector machine,which can inspect network intrusion and abnormal detection with the class II categorized ability of support vector machine.

网络安全的主要威胁是通过网络对信息系统的入侵,它是指任何破坏计算机或网络完整性、保密性、可用性的行为。

In order to improve the correct rate of enterprise's financial distress prediction and reduce the sample number and training time, renyi-entropy and least squares support vector machine is applied to the field of financial distress prediction on the basis of the traditional support vector machine prediction model and advances a kind of prediction model which is based on Renyi-entropy and LS-SVM.

为了提高企业财务困境预测的正确率,减少训练模型的样本数和训练时间,在传统支持向量机预测模型的基础上,将Renyi熵和最小二乘支持向量机算法应用于财务困境预测,提出了一种基于Renyi熵的最小二乘支持向量机预测模型。

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