搜索资源列表
XFX
- 隶属函数型神经网与模糊控制融合的解耦程序-membership function neural network and fuzzy control of the integration process Decoupling
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.
ApplicationofFuzzyNeuralNetworkinDriverFatigueDete
- 可利用MATLAB实现模糊神经网络仿真，不过这里还没有MATLAB源码，期待大家将其实现-Can make use of MATLAB realization of fuzzy neural network simulation, but no MATLAB source code here, we look forward to its realization
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.
yuyinshibie1024
- 基于模糊神经网络的语音识别，输入为测试变量，一直应该是神经网络的各个权值。-Based on fuzzy neural network speech recognition, input for the test variables, neural network should have all the right values.
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
156458489sada
- 模糊神经网络的实现，开发于matlab环境中，可自行修改-matlab
5145645454h1ghgfgf
- 开发于c++环境中，可自行修改,模糊神经网络的实现，-c++
FNNMATLAB
- 基于MATLAB的模糊神经网络开发程序，相信对大家有一定的作用。-MATLAB-based fuzzy neural network development process, I believe we have a certain role.
net
- 利用模糊神经网络的方法实现遥感图像的目标识别-The use of fuzzy neural network approach to achieve the goal of remote sensing images to identify
dfnn
- 一种动态模糊神经网络源码，是标准五层结构的动态模糊神经网络，该模糊神经网络的结构基于扩展的径向基神经网络，在功能上等价于TSK模糊系统。-this is a Dynamic Fuzzy neural network.
DMFFCNN
- 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，有文字说明和源代码-Membership functions using neural networks and fuzzy control integration decoupling method (DMFFCNN) method of decoupling control, there are text and source code
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.
a1
- matlab实现模糊神经网的仿真，输出误差等曲线-matlab fuzzy simulation, neural networks, such as the output of the error curve