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- Radial basis kernel function 径向基核函数
- 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；
- 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。
- For this reason, several important properties of kernel function are discussed on the basis of support vector machine. 为此，在研究支持向量机的基础上，给出了核函数的若干重要性质。
- Theoretically how to choose Kernel function remains unsolved. 在理论上，怎样选择核函数，还是一个未解决的问题。
- 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。
- Super advertising shield and attached a crucial handoff IE kernel function. 附带超强的广告屏蔽和IE内核一键切换功能。
- 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。
- 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。
- It is also very important to find out about all of the patches that need to be applied to the base kernel to tune it for your specific architecture. 还有一点也非常重要:找到需要应用于基本内核的所有补丁,以便为特定的体系结构调整内核。
- 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。
- Kernel function is applied in PCA and DDA, so the linear discriminance method is dislinearized. 在主分量分析方法以及线性判别式方法中,引入核函数,使得原来的线性判别方法非线性化。
- We then investigate the suitable radial basis parameter used in DACE method. 然后我们研究了DACE里面基底函数的参数的适用性。
- The kernel function is modified by means of a conformal mapping, which makes the kernel function data-dependent. 利用与数据有关的保角映射，使核函数具有数据依赖性。
- When the Gaussian kernel function width is 2.0, RVM method possesses more perfect prediction performance. 当高斯核函数的宽度值取为2.;0时，相关向量机方法具有较为理想的预测效果。
- 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；
