The mechanical background for structural approximate analysis with RBF NN has been researched.
研究了基于RBF网络的结构近似分析的力学基础。
The results showed that RBF NN can distinguish magnetizing inrush currents from internal fault currents correctly.
结果表明：RBF神经网络可以正确地区分励磁涌流和短路电流。
The simulation results show that the attitude accuracy of steady state of a system with RBF NN compensation blocks has been improved obviously.
结果表明：有rbf网络补偿的系统，姿态的稳态精度得到了明显的改善。
Using RBF NN can restore the airplane to the normal state by online regulating the effect of the uncertainties and the error caused by fuzzy modeling.
采用RBF神经网络在线补偿不确定项和模糊建模误差，能够使飞机获得满意的控制效果。
The normalized vector is used as the input of RBF NN, and target recognition is performed based on this, which leads to a satisfactory recognition result.
并对该特征向量进行对数归一化，将归一化的特征向量作为径向基函数（RBF）神经网络的输入，在此基础上进行识别，达到较好的识别效果。
In this paper, the model structure and the application of Radial Basis Function Neural Network (RBF NN) to fault diagnosis of power transformer is presented.
研究了径向基函数(RBF)神经网络的模型结构及其在电力变压器故障诊断中的实现方法。
A new learning algorithm based on the half-determined GA for RBF NN is proposed, which considers the number of the units in the hidden-layer the centers % the width and the weight of RBF NN.
构造了一个基于半确定性遗传算法的RBF网络训练算法，此算法全面地考虑了R BF网络的隐层单元数、网络中心、宽度和权重。
RBF Neural Networks (NN) based control strategy is proposed to compensate the disturbance moment.
提出了一种基于RBF网络扰动力矩补偿的控制技术。
Based on the research of the BP arithmetic and RBF arithmetic, the NN training and forecast model which is suitable for the environment-monitoring data is proposed.
通过对BP算法和RBF算法的研究，确定了适合环境监测数据COD值的神经网络训练与预测模型。
Based on the research of the BP arithmetic and RBF arithmetic, the NN training and forecast model which is suitable for the environment-monitoring data is proposed.
通过对BP算法和RBF算法的研究，确定了适合环境监测数据COD值的神经网络训练与预测模型。
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