提出用粗糙集理论简化这些因素，然后采用径向基函数网络对连铸板坯缺陷进行预报诊断。
This research USES rough sets to reduce this factors, then adopts radial basis function networks to predict and diagnose the continuous casting slab defect.
在设计时，采用两级SVM分类器级联的方式，核函数采用径向基函数，并且用网格搜索法来选取合适的参数。
Two-level-classifier is designed to recognized urinary sediments. The kernel function uses the radial basis function and grid-search method is used to select the parameters of SVM.
根据检测结果用径向基函数插值方法将事先选择好的一个中性标准网格模型进行空间网格变形使其变形为个性化人脸几何模型；
Thirdly we employ radial basis functions (RBF) interpolation method to deform a neutral generic model to the personalized geometry model according to the detected features.
提出了一种用r BF网络(径向基函数网络)简化汽车故障诊断仪数据流功能的方法。
A method based on radial basis function neural network (RBF) was presented, which could simplify data stream of automobile diagnosing instruments.
采用非线性反馈控制电流内环，用RBF(径向基函数)神经网络设计了神经网络控制器控制输出电压外环。
Employing a RBF (radical basis function) neural network, a neural network controller is proposed for the output voltage control of the Buck - Boost converter.
径向基函数神经网络的理论基础是函数逼近，用一个两层的前向网络去逼近任意函数，以更好地进行潮流控制。
The theoretical basis of ANN is function approximation, it USES a two - level feedforward neural network to approach arbitrary function to realize better power flow control.
用高斯径向基函数(RBF)神经网络逼近对象未知非线性，用高增益观测器估计系统不可测量状态。
Gaussian based radial basis function (RBF) neural networks are used to approximate the plant's unknown nonlinearities, and a high-gain observer is used to estimate the unmeasured states of the system.
用高斯径向基函数(RBF)神经网络逼近对象未知非线性，用高增益观测器估计系统不可测量状态。
Gaussian based radial basis function (RBF) neural networks are used to approximate the plant's unknown nonlinearities, and a high-gain observer is used to estimate the unmeasured states of the system.
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