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- On-Line Learning Control for Servo Systems based on CMAC with Gauss Basis Function 伺服系统的高斯基函数CMAC学习控制研究
- Gauss basis function 高斯基函数
- Gauss linear frequency modulation wavelet is selected as base function to study wavelet spectrum, and its smoothed spectrum in time and frequency domain. 在前人工作的基础上,选用了高斯线调频小波作为基函数,研究了信号的小波谱,给出了小波谱在时间域及频率域的平滑谱并与傅里叶谱进行了比较。
- 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。
- First an proximate expression of Gauss type function integral is deduced with proper accuracy, and then a scheme based on modified radial basis function (RBF) neural networks is proposed. 导出了在一定精度下高斯型函数积分近似表达式,利用径向基函数(RBF)网络具有良好的逼近任意非线性映射的特点,提出了一种改进的RBF网络方法以实现对高斯型函数积分。
- 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。
- Abstract 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。
- The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning. 与类神经网路学习成效息息相关者有二：类神经网路架构与学习法则。
- Shortdated prediction uses improved mapping mode of Radial Basis Function in virtue of signal processing at autocontrol scopes. 借助自控领域信号处理的思想，应用改进后的径向基函数神经网络的映射模式进行软基沉降的短期预测；
- This paper construct a kind of reduced-form Fuzzy Neural Networks (FNN) according to the qualtities of Fuzzy Basis Function Expansion. 本文根据模糊基函数展开的性质构造出一种简化形式的模糊神经元网络（FNN）。
