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GGAP-RBF.zip
- Radial Basis Function,Radial Basis Function
RBF
- 神经网络分析，RBF神经网络，含有基本函数的，参数设置。-The neural network analysis, RBF neural network, containing the basic function, parameter setting.
RBFNN
- RBF网络实现高斯函数的设计，很详细的过程 -RBF network Gaussian function design, very detailed process
RBFNN-1
- 使用RBF神经网络实现函数逼近，逼近的函数为y(k)=u(k)^3+y(k-1)/(1+y(k-1)^2).通过对该程序的学习及实现可以更好的了解径向基神经网络的结构及算法-RBF neural network function approximation, the approximation of the function y (k) = u (k) ^ 3+y (k-1)/(1+y (k-1) ^ 2) through the program to learn and achieve mor
RBF
- radial basis function for load forecasting
rbf
- 建立一个径向基神经网络，对非线性函数y=sqrt(x)进行逼近，并作出网络的逼近误差-The establishment of a radial basis function neural network, the nonlinear function y = sqrt (x) to approximate, and make the network approximation error
RBF
- 针对一类非线性动态系统给出了一种基于RBF(径向基函数)神经网络的模型参考自适应控制算法,控制器的结构中使用RBF网络来动态的补偿系统的非线-A class of nonlinear dynamic systems presents a model reference adaptive RBF (Radial Basis Function) neural network control algorithms, structure of the controller using RBF netwo
RBF-network-regression-
- RBF网络的回归-非线性函数回归的实现的相关代码-The realization of RBF network regression nonlinear function regression
shenjingwangl
- 《MATLAB神经网络原理与实例精解(附光盘)》首先简要介绍了MATLAB软件的使用和常用的内置函数，随后分门别类地介绍了BP网络、径向基网络、自组织网络、反馈网络等不同类型的神经网络- Matlab neural network theory and examples of (CD-ROM) begins with a brief introduction to the use of MATLAB software and commonly used built-in funct
rbf
- 通过给出目标变量的自变量的值，训练其函数关系式，得到自变量和因变量之间的关系(By giving the value of the independent variable of the target variable, the function relation is trained, and the relationship between the independent variable and the dependent variable is obtained)