搜索资源列表
FNN
- 用隶属函数型神经网与模糊控制融合的解耦程序
ELM_DE.zip
- 模糊神经网络实现函数逼近与分类，实现模糊规则的提取。,Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
jang.zip
- 模糊神经网络与软件计算的各章代码，值得学习，望对大家有用,Fuzzy neural network computing and software of the various chapters of the code, it is worth learning, look for useful
BPNN
- 用BP神经网络实现模糊控制规则为T=int[(e +ec)/2]的模糊神经网络控制器。可以改变隐层节点数和学习速率。网络训练算法是变学习速率法。-BP neural network with fuzzy control rules for the T = int [(e+ Ec)/2] of the fuzzy neural network controller. Can change the hidden layer nodes and learning rate. Network tra
chengpin
- 模糊神经网络，自己编的，解决神经网络全局收敛问题，训练速度快。-Fuzzy neural networks, own, and to resolve the issue of global convergence of neural network training speed.
elm
- 模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
bp1
- 神经网络已经得到广泛应用，这里是一个模糊神经网络的matlab程序-Neural network has been widely used, there is a fuzzy neural network matlab program
FLch7FNNeg3
- 第七章的模糊神经网络解耦MATLAB程序 例7.3 用隶属函数型神经网与模糊控制融合的解耦程序（FLch7FNNeg3.m） 是侯媛彬和汪梅的系统辨识课本上第七章的的实验。 -Chapter VII of the fuzzy neural network decoupling Example 7.3 with the MATLAB program membership function neural network and fuzzy control integration of t
MATLAB-code
- 用隶属函数型神经网与模糊控制融合的解耦程序 采用隶属函数型神经网与模糊控制融合的解耦方法（DMFFCNN）方法实现解耦控制。-matlab fuzzy system
AImprovedBPaln
- 一种改进的BP算法在模糊神经网网络中的应用，性能得到很好的改善。 -An Improved BP Algorithm in the fuzzy neural networkk applications, performance is very good improvement.