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- higher order hierarchical basis functions 高阶叠层基函数
- hierarchical basis functions 叠层型基函数
- higher order hierarchical vector basis functions 高阶叠层矢量基函数
- 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。
- A device widely used with GTO basis functions is that of a contracted Gaussian set. 广泛地应用GTO基函数的一个方法是简缩高斯函数集。
- Roothaan proposed representing the Hartree Fock orbitals as linear combinations of a complete set of known functions called basis function. 罗汤建议把哈特利福克轨道表示成已知函数称基函数。
- This method is adapted to microstrip arrays with arbitrarily shaped element by choosing RWG basis functions. 并通过选取RWG基函数,使该法适用于任何单元形状的微带阵列。
- The widely used basis functions in CAGD, such as Bernstein, B-spline and NURBS basis, are all normalized B-basis. CAGD中广泛使用的表示曲线曲面的基函数，如Bernstein基、B样条基、NURBS基等均为规范B基。
- This method can be adapted to microstrip arrays with arbitrarily shaped elements by choosing RWG basis functions. 通过选取RWG基函数，使该法适用于任何单元形状的微带阵列。
- Rather, the coefficient ratios between certain basis function are kept fixed at predetermined value. 更确切地说：一定基函数之间的系数的比值保持固定在预定值。
- Surface basis function of edge element is derived and implemented to discretize the integral equation in this paper. 提出并推导了任意表面棱边单元法的基函数 ,其特性和三维棱边单元法一样 ,保持切向分量连续。
- We discuss strengths and weaknesses of RBFs and RBF extensions which depend on the a priori knowledge on the solution, like Hyper Basis Functions. 以及经由先验知识的解法－如超基底函数，探究半径基底函数的优缺点和这函数所延伸的一些理论。
- An elliptical basis function (EBF) network is proposed in this study for the classification of remotely sensed images. 椭球径向基函数神经网络(EBF)是在径向基函数(RBF)映射理论基础上的改进。
- The nonlinear offline model of the controlled plant is built by LS-SVM with the radial basis function (RBF) kernel. 首先，用具有RBF核函数的LS-SVM离线建立被控物件的非线性模型；
- The rare suspension damping parameters of a jeep were optimized with radial basis function neural network. 以某汽车为例,采用径向基函数神经网络对后悬架的阻尼进行了优化。
- A new method is proposed for training radial basis function networks (RBFN) using the unscented Kalman filter (UKF). 摘要提出了应用无先导卡尔曼滤波器(UKF)来训练径向基神经网络(RBFN)的新方法。
- Compared with existing approaches, auto-companding can help in controlling modeling error and reducing the number of basis functions employed. 与已有方法相比，采用自动压扩技术可以有效的控制模型误差并减少采用的基函数的个数，从而可以达到更好的建模效果。
- A new method was proposed to sort neural spikes using radial basis function manual neural network. 通过径向基函数神经网络的分析,对神经元脉冲电位信号提出了新的分类方法。
- Using a template signal that contains a prior signal information, a set of nonparametric basis functions are obtained by means of a filter bank. 该方法不需要构造参数表达的基函数，而是将具有信号先验知识的模板信号通过滤波器组得到一组基函数来提取隐藏在噪声中的信号。
