搜索资源列表
fzh1
- 用于函数逼近的BP算法程序,matlab源码-function approximation for the BP algorithm procedures, Matlab FOSS
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.
hanshubijin
- MATLAB下BP神经网络用于函数逼近-MATLAB under the BP neural network for function approximation
bpbijin
- 这是用BP神经网络实现函数逼近的MATLAB源程序。-This is by BP neural network function approximation of MATLAB source.
GGAP-RBF
- 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.
OS-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.
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.
RBFFunction
- RBF网络用于函数逼近，未使用matlab工具箱，程序应用效果良好-RBF network for function approximation is not used matlab toolbox, the application of effective procedures
Optimization_of_RBF_Network
- Matlab粒子群算法优化RBF网络 采用了粒子群算法对RBF神经网络中的参数进行了优化，在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强-Matlab PSO RBF network optimization using particle swarm optimization on RBF neural network parameters are optimized, in the test procedures and verified thr
bpnet
- bp神经网络算法程序，仿真逼近一个函数，内含详细注解，适合初学者。-it is a program of bp neural network algorithm ,its function is simulating approximation of a function. it contains detailed notes, and suitable for beginners.
bp
- 基于BP神经网络算法的函数逼近，利用matlab实现BP算法逼近任意非线性函数-BP neural network algorithm based on function approximation, using matlab to achieve BP algorithm approximate any nonlinear function
bpwangluo
- BP网络在函数逼近方面举例代码，调试过了，有仿真结果-BP network in function approximation area code for example, debug off, and there are simulation results
BP
- 利用BP网络实现函数逼近，本程序以cos(k*pi*p)为例进行逼近-Function approximation using BP network, the procedures to cos (k* pi* p) as an example approximation
RBF
- matlab环境下的RBF神经网络用于函数逼近-matlab environment RBF neural network for function approximation
WNN
- 多种小波神经网络,程序完整，实现函数逼近功能-A variety of wavelet neural network, integrity of the process to achieve function approximation function
BP_ANN-matlab
- BP神经网络，用于函数逼近。程序中先用一定间隔的函数数值对神经网络进行训练，待算法大致收敛后，然后用测试数据进行测试。并输出函数逼近的误差-BP feed-forward backpropagation network，which is used to approximate function.
matlab-homework
- BP神经网络实现函数逼近 自适应性线性神经网络与线性逼近 含代码 与运行截图-The BP neural network to realize the function approximation Adaptive linear neural network and linear approximation Contain the code and run screenshot
第10章 模糊逼近算法
- RBF网络的学习过程与BP网络的学习过程类似，两者的主要区别在于各使用不同的作用函数。BP网络中隐层使用的是Sigmoid函数，其值在输入空间中无限大的范围内为非零值，因而是一种全局逼近的神经网络；而RBF网络中的作用函数是高斯基函数，其值在输入空间中有限范围内为非零值，因为RBF网络是局部逼近的神经网络。(The learning process of RBF networks is similar to the learning process of BP networks. The mai
CMAC逼近非线性函数
- 利用小脑模型神经网络逼近非线性函数，MATLAB编写m文件实现，给出逼近误差(Cerebellar model neural network is used to approximate nonlinear functions. MATLAB is used to write M files, and approximation error is given.)
RBF神经网络逼近非线性函数
- 利用径向基神经网络逼近非线性函数，MATLAB编程实现，给出训练误差(Radial basis function neural network is used to approximate nonlinear functions. MATLAB programming is implemented to give training error.)