搜索资源列表
RBFnn
- 利用matlab语言实现的RBF神经网络建模例子，对学习RBF建模很有帮助-using Matlab language RBF neural network modeling example, to learn modeling helpful RBF
RBF建模
- 是MATLAB的RBF神经网络建模程序，比较有参考价值阿，需要的就下吧-MATLAB is the RBF neural network modeling procedures, more A reference value, we need it on the next
RBF_OLS
- 此程序是神经网络中径向基函数的OLS算法，在MATLAB中实现。用一个2－n－1结构的RBF网对SISO系统进行建模，网络的两个输入为u(k-1)和y(k-1)，输出为 y(k)。令y(0)=0，按飞线性系统产生200个样本，其中前100个样本用于训练，后100个样本用于测试。-This program is the radial basis function neural network of OLS algorithm is implemented in MATLAB. With a 2-n
RBFneuralnetworkprogram
- RBF神经网络预测程序，建模，仿真，实验等-RBF neural network prediction program, modeling, simulation and experiment
rbf_pca
- 先运用pca找到主要的影响变量，然后用rbf神经网络建模-First use PCA to find the impact of major variables, and then use the rbf neural network modeling
DT1RBFGJDTDSYJYnet
- 对动态一阶对象采用RBF神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Dynamic first-order object to the use of RBF neural network to model the source, after debugging, directly from MATLAB can be run!
DT1RBFnet
- 对动态一阶对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Dynamic first-order object using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
DT2RBFDTnet
- 对动态二阶对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Dynamic second-order objects using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
JTRBFGJnet
- 对静态对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-On the static object using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
JTRBFnet
- 对静态对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-On the static object using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
NDT1RBFnet
- 对非线性动态一阶对象采用rbf神经网络进行建模的源程序,经过调试,直接就可以由MATLAB运行!-Of nonlinear dynamic first-order object using rbf neural network modeling of source, after debugging, directly from MATLAB can be run!
DTNLRBFnet
- 动态一阶改进型RBF神经网络对非线性系统的建模程序,直接运行即可!-Dynamic first-order modified RBF neural network for nonlinear system modeling procedures can be directly run!
sf1847
- 数据挖掘建模工具，轻易实现BP神经网络、RBF神经网络、灰色系统、决策树、决策表、贝叶斯、懒惰算法、支持向量机、K均值聚类、Apriori关联规则、HotSpot关联规则、回归分析、指数平滑、季节移动平均及组合等算法建模。-Data mining modeling tools, easy to achieve BP neural network, RBF neural network, gray system, decision tree, decision table, Bayesian, l
RBFboiler
- 本程序是利用RBF神经网络和K-j聚类算法对电站锅炉进行建模。-This procedure is the use of RBF neural network and Kj clustering algorithm to model boiler.
RBF_nn_predict_code
- RBF神经网络预测程序，先建模再预测，精度不错-RBF neural network prediction program, the first model and then predict good accuracy
七个RBF神经网络的源程序
- 七个RBF神经网络的源程序,有建模及RBF的具体分析，简简单单的几个小程序(Seven RBF neural network source)
RBF_NN_MIC
- 可以用于多输入单输出的RBF径向基神经网络建模。。(The RBF neural network can be used to creat the model,which can be descrided by multi input and one output)
7个RBF神经网络的源程序
- rbf神经网路的预测，径向基神经网路的分类，径向基神经网路的建模等7个m文件
we
- RBF 神经网络用于函数拟合，便于进一步的rbf分析建模，高斯基函数的求取(RBF neural network is used for function fitting to facilitate further RBF analysis modeling and gauss function.)
rbf500
- RBF神经网络建模，也可适用于多输入多输出(RBF neural network modeling can also be applied to multi input and multi output)