搜索资源列表
模糊神经网络解耦MATLAB程序
- 这个儿模糊神经网络解耦MATLAB程序对一些人工智能爱好者来说还是比较有用的.-the abuse FNN decoupling MATLAB procedures on some artificial intelligence lovers or more useful.
model_set1
- 以matlab编写的pi-sigma模糊神经网络程序-to Matlab prepared by the pi-sigma FNN procedures
EmbeddingDimension_FNN
- 假近邻法(False Nearest Neighbor, FNN)计算嵌入维的Matlab程序 文件夹说明: Main_FNN.m - 程序主函数,直接运行此文件即可 LorenzData.dll - 产生Lorenz时间序列 PhaSpaRecon.m - 相空间重构 fnn_luzhenbo.dll - 假近邻计算主函数 SearchNN.dll - 近邻点搜索 buffer_SearchNN_1.dll - 近邻点搜索缓存1 buffer_Search
matlabfuzzyneuraltoolbox
- 模糊神经网络工具箱matlab 模糊神经网络工具箱matlab-FNN Matlab Toolbox FNN Matlab Toolbox
nefcon
- 模糊神经网络采用matlab编程 o install NEFCON follow these steps: 1. Unpack the tar file NEFCON.TAR into your MATLAB working directory: tar xf NEFCON.TAR 2. Start MATLAB 3. Change to the installation directory. 4. Change to the NEFCON directory. 5. Start the STA
annEXAMPLE
- BP神经网络算法,采用遗传算法训练具有7个隶属函数的FNN控制器权值的程序等-BP neural network algorithm, using genetic algorithm training with seven membership function of the FNN controller weighting procedures
FNN
- 模糊神经网络matlib实现,希望对大家有用!-Fuzzy neural network matlib realize the hope for all of us!
FNN
- 一种模糊神经网络的结构和参数的确定方法,王世同的论文-A fuzzy neural network structure and parameters to determine method of Wang' s paper with the
fnn
- 发一个模糊神经网络的Matlab程序 其中kmeans部分让大家自己补充吧 -Development of a fuzzy neural network which kmeans part of Matlab programs for everyone to add it
FNN-MATLAB
- Fuzzy Neural MATLAB 基于模糊神经网络的控制问题-Fuzzy Neural Matlab
D-FNN
- 动态模糊神经网络(D-FNN)的程序,应用于matlab算法仿真,十分有用。-Dynamic fuzzy neural network (D-FNN) procedure, used in matlab algorithm simulation, very useful.
Training-program
- 采用遗传算法训练具有7个隶属函数的FNN控制器权值的一个好用程序,读自MATLAB工具箱的神经网络理论与应用程序源代码一书。-A useful training program using genetic algorithms with seven membership function FNN controller weights, read from MATLAB toolbox neural network theory and application source code book.
FNN
- 一个模糊神经网络程序实例,可在matlab中运行-A fuzzy neural network instance, can run in matlab
fnn
- 反馈神经网络的matlab实现,简单易懂(Matlab neural network feedback, simple to understand)
