搜索资源列表
FLch7NNeg1
- 用改进的神经网络MBP算法辨识 ，对具有随机噪声的二阶系统的模型辨识-improved neural network algorithm for identification of MBP, the random noise with the second-order system model
wannnpid532
- 完善网络结构将RBF网络的径向基换成小波函数，调整权值以及公式的变更， 可望在仿真结构中添加非奇异项以验证小波网络的辨识精度和能力，输入层加权值进行调整~..~-to improve the network structure of the RBF network replaced wavelet Radial Basis Functions, value and the right to adjust the formula change, the simulation structure
mbp
- 对具有随机噪声的二阶系统的模型辨识(用改进的神经网络MBP算法辨识)-of random noise with the second-order system model (used to improve the neural network algorithm for identification MBP)
DWD
- 多维非线性辨识的MATLAB程序（用神经网络学习二维非线性函数）-multidimensional nonlinear identification MATLAB (using neural networks to learn two-dimensional nonlinear function)
nnsysid20
- 基于MATLAB的神经网络非线性系统辨识软件包.-MATLAB-based nonlinear neural network system identification package.
bpxtbianshi
- 这是用bp神经网络实现二维系统辨识功能的源程序 -bp neural network function 2D system identification of the source
Adptive
- 神经网络的自适用算法，利用神经网络对系统辨识和跟踪。此程序为c语言和matlab混和编程，由c语言实现算法，由matlab来显示图形。-neural network algorithm applied since the use of neural network system identification and tracking. This procedure c mixed language and Matlab programming, C language algorithms fro
RBFNN_Iden_local
- 基于局部误差的RBF神经网络辨识的MATLAB仿真程序,有注释-Based on local error of RBF neural network identification MATLAB simulation program
System-identification-code
- 系统辨识理论的代码，包括最小二乘法、极大似然法、神经网络辨识算法、梯度算法-System identification theory code, including the method of least squares, maximum likelihood method, neural network identification algorithm, gradient algorithm
BP-Identification
- BP Identification 螺旋桨推力系数BP神经网络辨识-BP Identification
54017322
- 基于小波神经网络辨识的PID神经模型源程序,不错的源码 很好-The PID neural model based on wavelet neural network to identify the source program, a good source is very good
k22
- 神经网络的在线参数修正及系统辨识在非线性系统中的应用(Online parameter modification of neural network and application of system identification in nonlinear system)
overhend
- 基于小波神经网络辨识的PID神经模型源程序,不错的源码 很好(The PID neural model based on wavelet neural network to identify the source program, a good source is very good)
BP
- 利用BP网络逼近对象y(k)=u(k)^3+y(k-1)/(1+y(k-1)^2)。采样时间取1ms。输入信号为u(k)=0.5sin(6*pi*t)。(Approximate object y (k), =u (k), ^3+y (k-1) / (1+y (k-1) ^2) using BP networks. Sampling time is 1ms. The input signal is u (k) =0.5sin (6*pi*t).)
corbeppjnd
- 这是一个模型系统辨识的源代码,可以确定过程系统的参数,()
基于最小二乘法RBF神经网络MATLAB程序
- 基于最小二乘法RBF神经网络MATLAB程序，采用最小二乘法及RBF神经网络完成系统辨识(RBF neural network MATLAB program based on least square method, using least square method and RBF neural network to complete system identification)
MATLAB神经网络30个案例分析代码
- 对于神经网络系统辨识，采用MATLAB进行仿真验证(For neural network system identification, MATLAB is used for simulation verification)
chap6
- 神经网络简单介绍，BP神经网络在线和离线辨识，RBF神经自适应控制。(Neural network is introduced simply, BP neural network is identified online and offline, and RBF neural adaptive control.)
基于PD增益自适应调节的模型参考自适应控制
- 基于RBF神经网络辨识的单神经元PID模型参考自适应控制, 基于RBF神经网络辨识的单神经元PID模型参考自适应控制(Single Neuron PID Model Reference Adaptive Control Based on RBF Neural Network Identification)
发动机简介及数据辨识方法总结
- 涡扇发动机基于数据建模现状整理，包括Volterra、神经网络等，及相关文献，文献总结。