【248】二阶非线性系统径向基函数神经网络(Radial Basis Function Neural Network,RBFNN)跟踪控制 02:59 【247】单摆模型仿真 00:34 【免费】这是之前我购买的一大堆代码,同学们,觉得有用吗?可以都送给你们!!!(链接在评论区置顶) 既然香遇 1.2万 1 【184】多智能体系统的队列稳定性:一种自适应最优控制...
The application of a radial basis function (RBF) neural network (NN) for fault diagnosis in an HVDC power system is presented in this paper. To provide a r... KG Narendra,VK Sood - 《Power Systems IEEE Transactions on》 被引量: 294发表: 1998年 30a2-1 radial basis function (rbf) neu...
径向基神经网络(RBFNN快速回归算法正交最小二乘混沌时间序列Considering the difficulty in selecting the numbers and determining the locations of the centers of radial basis functions (RBF) in the RBF neural network (RBFNN), a novel RBFNN is proposed based on the fast recursive algorithm (FRA). ...
rbf基函数径向functionradialbasis Radial Basis Function (RBF) Networks RBF network • This is becoming an increasingly popular neural network with diverse applications and is probably the main rival to the multi-layered perceptron • Much of the inspiration for RBF networks has come from traditional...
This is an experimental study to compare the performance of the widespread backpropagation network (BP) to the performance of a radial basis function (RBF) and a generalized regression neural network (GRNN) for potential use as on-line process models. Criteria for network comparison include general...
Considering the difficulty in selecting the numbers and determining the locations of the centers of radial basis functions (RBF) in the RBF neural network (RBFNN), a novel RBFNN is proposed based on the fast recursive algorithm (FRA). Using FRA, we can determine the numbers and locations of ...
Basis-Function Networks," Neural Computation, 3(2), 246-257. – Park, J. and Sandberg, I. W. (1993). "Approximation and Radial-Basis- Function Networks," Neural Computation, 5(2), 305-316. Statistics vs. Neural Networks Statistics Neural Networks model network estimation learning regression...
To forecast the freight volume more effectively,the authors analyzed the factors influencing freight volume and established an AHP model.Based on this model,a radial basis function neural network model for freight volume forecasting was presented.The historical statistical data from 1985 to 2004 were ...
A radial basis function artificial neural network (RBF ANN) based method for distributed dynamic force reconstruction is presented in this study considering multi-source uncertainties. Foremost, the distributed forces are approximated by truncated Legendre orthogonal polynomial in the time history. The RBF...
Radial basis function neural network was used in the continuous prediction of four GPS satellite clock bias with five minutes, one hour and one day in this paper, the root mean square error was better than 0.8 ns, 0.6 ns and 1 ns, respectively, these prove the reliability of the radial ...