搜索资源列表
BP
- 使用BP网络逼近非线性函数,可以获得很不错的逼近效果！
三层BP神经网络逼近非线性函数
- 内容如题，其中BP神经网络的建立采用自编函数，而非Matlab自带的神经网络建立函数
BP-neural-network-
- 该程序是用matlab语言实现应用BP神经网络逼近非线性函数，文档中包括了matlab的m文件，验证文件还有说明文件。-The program is matlab language on BP neural network approach nonlinear function, the document includes matlab m-files, verify file as well the documentation
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.
threeneuralnetword
- 如何构造神经网络，及构造一个三层前馈神经网络，来逼近非线性函数-How to construct a neural network, and construct a three-layer feedforward neural network to approximate nonlinear functions
bp
- 用bp人工神经网络来逼近非线性函数-With bp artificial neural network to approximate nonlinear functions. . . . . .
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
CMACnoLEARN
- 自己写的CMAC 小脑神经网络逼近非线性函数-Write your own CMAC CMAC approximate nonlinear functions
bp-rbf-neural-networks
- 介绍如何通过matlab使用bp神经网络和rbf神经网络来逼近非线性函数-Describes how to use matlab bp neural network and rbf neural networks to approximate nonlinear functions
RBF
- 运用常规的PID控制算法很难达到人们所要求的控制效果。采用改进的BP神经网络算法进行改进具有以任意精度逼近非线性函数的能力，而且通过它的自身的学习，可以找到某一最优控制率下的PID控制器参数，使其具有更好的鲁棒性和自适应的能力。-Using conventional PID control algorithm is difficult to live up to the required control effect. The improved BP neural network algorit
M
- bp算法逼近非线性函数，利用bp算法逼近单输入函数-Bp algorithm approximating function
BP1
- 采用BP神经网络逼近非线性函数,matlab源码实现，易于初学者理解，简单实用。-nonliear function by BP network approximatinon
bp-artifical-netwok
- bp人工神经网络，要逼近非线性函数，并给出拟合效果-bp artifical nerual network
BP
- 基于BP神经网络算法的函数逼近，根据BP神经网络算法的原理，编写Matlab程序，逼近非线性函数。-Function approximation based on BP neural network algorithm to approximate nonlinear functions, according to the principle of BP neural network algorithm, written Matlab program.
BP
- bp神经网络逼近非线性函数，利用matlab-bp neural network approximation of nonlinear function using matlab
基于二进小波网络的非线性函数逼近
- 基于二进小波网络的非线性函数逼近，及其matlab代码(Approximation of nonlinear functions based on two step wavelet networks)
基于小波神经网络的非线性函数逼近
- 基于小波神经网络的非线性函数逼近，及其MATLAB程序(Approximation of nonlinear function based on Wavelet Neural Network)
模糊神经网络逼近二维非线性函数
- 采用模糊神经网络逼近二维非线性函数的matlab实例，matlab2008以上可以运行(Fuzzy neural network is used to approximate two dimensional nonlinear function of MATLAB instance, and matlab2008 can be used to run)
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.)