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- The antenna is subdivided into small finite tetrahedral, after choosing appropriate vector basis function to express the electric field the problem can be converted to a matrix equation calculation. 在接口平面上根据场的连续性结合两种方法使用。
- high order vector basis function 高阶矢量基函数
- higher order vector basis function 高阶矢量基函数
- Based on hexahedra vector finite element in ANSYS，a new orthogonal-reinforced hexahedra vector element is created by modifying vector basis functions. 在ANSYS采用的六面体矢量单元的基础上，对矢量基函数作了一些增强正交性的修改，使其同时具备采样点正交性和积分正交性，得到了一种新的正交增强六面体矢量单元；
- higher order hierarchical vector basis functions 高阶叠层矢量基函数
- higher order vector basis functions 高阶矢量基函数
- higher order vector bases functions 高阶矢量基函数
- vector basis function 矢量基函数
- vector base function 矢量基函数
- To analyze the multimode feed antennas, the integral equation of the antenna is solved by using a method of moment with vector triangle basis function. 摘要为了分析多馈源天线，采用矢量三角形基函数的矩量法求解天线积分方程。
- Quantizer of Image Vector Based on F. 基于分形的图像矢量量化器。
- Used as input vector of radius basis function (RBF) neutral network, the wear debris shapes were divided into four classes: regular, irregular, circular and elongated. 然后以提取的形状特征为输入矢量，利用径向基函数神经网络对磨粒形状进行分类识别。
- Abstract： To analyze the multimode feed antennas, the integral equation of the antenna is solved by using a method of moment with vector triangle basis function. 摘 要： 为了分析多馈源天线，采用矢量三角形基函数的矩量法求解天线积分方程。
- Among them, the Radial Basis Function( RBF) neural network is a better model. 在这些预测模型中性能比较突出的是径向基函数网络(RBF)法。
- This method combines a genetic algorithm with an artificial neural network classifier, such as back-propagation( BP) neural classifier, radial basis function( RBF) classifier or learning vector quantization( LVQ) classifier. 此方法结合基因演算法与类神经分类器，如倒传递分类器、射基底函数分类器以及学习矢量量化分类器。
- The decomposed singular value may serve as the flow pattern characteristic vector and the input to a radial basis function neural network (RBFNN) to realize an intelligent identification of the flow pattern. 然后对初始特征向量矩阵进行奇异值分解得到矩阵的奇异值，将其作为流型的特征向量，再结合RBF神经网络形成流型的智能识别方法。
- This method combines a genetic algorithm with an artificial neural network classifier, such as back-propagation (BP) neural classifier, radial basis function (RBF) classifier or learning vector quantization (LVQ) classifier. 此方法结合基因演算法与类神经分类器，如倒传递分类器、放射基底函数分类器以及学习矢量量化分类器。
- Different metamodels such as single polynomial regression, radial basis function, and support vector machine have respectively applicable characteristics and performance for different simulation experiment data. 单个多项式元模型、径向基函数元模型与支持向量机元模型有各自的适用特点，对不同仿真实验数据的性能表现不同。
- To achieve a sparse solution for least squares support vector regression (LS-SVM), an algorithm called vector base learning (VBL) is proposed in this paper. 摘要为使最小二乘支持向量机的解具有稀疏性，本文提出了一种稀疏解算法-矢量基学习。
- Objective To construct the display vector based on the CS3 pili of enterotoxigenic Escherichia coli. 目的构建大肠杆菌CS3菌毛呈现载体，实现外源表位在细菌表面的呈现。
