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- Presents the mathematical expressions of adding new learning sample and adding new redial basis function of relearning algorithm, studies how to get the new learning sample. 详细给出了径向基函数神经网络再学习算法中增加新训练样本和增加新基函数的数学公式，同时对如何获取新的训练样本进行了研究。
- Applies the strict mathematical reasoning, translates the problem of relearning algorithm of redial basis function neural network into the problem additional operation of matrix operation. 应用严格的数学推理方法，将径向基函数神经网络的再学习问题转化为矩阵求逆的附加运算。
- In order to apply redial basis function neural network to recognize the given system step by step, this paper studies the problem of relearning algorithm of redial basis function neural network. 摘要为了应用径向基函数神经网络逐步地识别待研究系统，文章针对径向基函数神经网络的再学习算法开展了深入的研究。
- Redial basis function neural network 径向基函数神经网络
- Relearning Algorithm and Application of Redial Basis Function Neural Network 径向基函数神经网络的再学习算法及其应用
- Application of Redial Basis Function Neural Networks to supersonic inspection of Concrete 径向基函数网络在混凝土超声探伤方法中的应用
- redial basis function 径向基函数
- redial basis function network RBF网络
- 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。
- 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。
- 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。
- 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。
- In this work, MLP is substituted by a radial basis function (RBF) network, which solves these problems successfully. 通过引入径向基函数(RBF)网络替代多层感知器网络，较好地克服了这些缺点。
- The comparison among linear, multilayer perceptrons, radial basis function estimators have been made. 谐波源定位估计器通过基于支持向量机算法进行设计。
- Miss distance parameters are estimated by matching pursuit algorithm to search the basis function which best matches the echo signal. 通过匹配追踪算法寻找与回波信号最匹配的基函数来确定脱靶量参数。
- Radial Basis Function(RBF) ANN using Dempster-Shafer theory of evidence which is abbreviated evidence network is presented to diagnose analog circuits. 本文探讨了RBF神经网络结合D-S证据理论的D-S证据神经网络在模拟电路故障诊断上的应用。
