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人工神经网络BP算法_函数逼近
- 用三层BP网络实现一个单输入单输出函数的逼近，文件中一个CPP文件和一个WORD文件，其中word文档中有对算法理论，算法设计，程序结果及改进方法试验的详细说明-using neural networks to achieve a single-input single-output function approximation, a CPP paper documents and a Word document, which document a word of the algorithm t
ga-quxian
- 遗传算法驱近函数级点的DOS绘图程序.该程序可以在5步情况下逼近函数最值.-GA flooding near the point function DOS mapping procedures. The procedure can five-step approximation of the value function.
fuzzy_control_to_imitate_function
- 用神经网络训练来逼近函数:y=8+2*exp(1-x.^2).*cos(2*pi*x)
RBFwangluo
- RBF网络逼近函数密密麻麻，该源程序能够无限逼近任意函数,例程中为逼近正弦函数，误差非常小。
BP_tanh_linaer
- BP神经网络Simulink模型。。例子给了个离散传递函数。训练后的网络可以逼近任意传递函数，或者非线性函数。-Simulink model of BP neural network. . Examples for the discrete transfer function. Trained network can approximate any transfer function, or the nonlinear function.
NeuroNetSample
- 我以前写的一个的神经网络学习函数逼近和分类的例子，商用级的。-I have previously written a study of the neural network function approximation and classification of examples, business class.
neur290
- 函数逼近，vc++源程序，调试通过的，供大家参看-Function approximation, vc++ Source code, debugging adopted for all to see
7868RBF_classification
- rbf实现函数逼近，调试通过的，仅供大家参考-rbf realization of function approximation, debugging adopted for your reference
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.
rbf
- 由于本人近阶段在研究神经网络方面的，所以把有关方面的共享给大家。 这段是用rbf函数逼近的源码。可直接编译运行-Due to recent phase I study of neural networks, so the parties to share to everyone. This is the source function approximation rbf. Direct the compiler to run
chap3-8
- 用模糊控制方法逼近函数z=x+y，效果比较好-Fuzzy control method with approximation function z = x+ y, the effect is better
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.
4
- BP算法例子：用一个五层的神经网络去逼近函数f(x1,x2)=pow(x1-1,4)+2*pow(x2,2)-BP algorithm is an example: with a five-layer neural network to approximate the function f (x1, x2) = pow (x1-1, 4)+2* pow (x2, 2)
bpnn
- 用bp神经网络逼近函数 -With bp neural network approximation function with bp neural network approximation function
BPsin(xy)
- 用BP神经网络逼近函数Z=SIN(X*Y),采用C++编程.-Using BP neural network to approach the function Z = SIN (X* Y), using C++ programming.
GA4NN1.2
- GENNET是一个通过遗传算法优化权重的16个神经元的全连接神经网络。训练目的是使网络在一定假设的激励下，随时间产生同目标函数同样的响应，即:可以把此网络制作为一个任意波形的信号发生器。 程序分3个示例说明遗传算法进化过程中网络输出的变化趋势。可以看出网络输出（蓝色曲线）随着时间变化逐渐逼近目标函数（红色曲线）。此程序不仅可以学习遗传算法，也可以用于研究全连接网络的直观示例。-GENNET is a genetic algorithm to optimize the weights b
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
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
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.)