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fnn-ok
- 用于自适应控制的模糊神经网络代码，输入是误差和误差变化率。-for adaptive control of the FNN code, the importation of error and error rate of change.
FNN
- FNN的matlab程序
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
DFNN
- 这是神经模糊网络中的D-FNN，极其所用到的函数程序。-This is a neuro-fuzzy network in the D-FNN, most of the procedures used in the function.
fnn
- 算embedding dimension. 可檢驗時間序列數據的embedm fnn1 fnn2-embedding dimension
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
- 一个关于fnn应用的例子，大家可以下载一下参考-a example of fnn
D-FNN
- D-FNN程序，可以直接用的程序。希望大家下载！-D-FNN
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
GA-FNN
- 遗传算法在控制工程中的应用,可以看看这个文献-APPLICATION OF GA-FNN HYBRID CONTROL SYSTEM FOR HYDROELECTRIC GENERATING UNITS
fnnga4
- 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-Using a genetic algorithm with seven membership function of the FNN controller procedures for weight
FNN
- 自己写的，将数据归一后，使用前馈神经网络进行预测-standerize data, use FNN to predict data series
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.
fnn
- 基于标准模型的模糊神经网络算法，VC++编写。-FNN based on standard model，achieved in vc++
fnn
- Programm FNN calculates the embedding dimension f a time serie using the method of false nearest neighbors.
matlab-fnn
- matlab的模糊神经网络实现，适用于初学者，具有一定的参考价值-FNN matlab
FNN
- 用假邻近法（FNN）计算嵌入维数，用于计算关联维数等-With fake neighboring France (FNN) embedding dimension is calculated for calculating the correlation dimension, etc.
FNN
- 使用PSO和GSA融合算法，训练FNN参数，但是速度较慢，希望大家提些意见，谢谢。(Using PSO and GSA fusion algorithm to train FNN parameters, but the speed is slow. Hope you can make some comments. Thanks.)