搜索资源列表
nettool
- 基于神经网络的辨识工具箱 (527KB)-Neural Network Based Identification Toolbox (527KB)
神经网络学习的二维非线性函数
- 神经网络学习二维非线性函数 ,多维非线性辨识的MATLAB程序-neural network learning 2D nonlinear function, multi-dimensional nonlinear identification procedures MATLAB
wannnpid
- 基于小波神经网络辨识的PID神经模型源程序-wavelet-based neural network identification of the source of PID neural model
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)
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 programm
SysIdentify
- 用神经网络对系统辨识(BP网络)。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。-using neural network system identification (BP). This procedure c mixed language and Matlab programming, C language algorithms from Matlab to display graphics.
chap4_5
- 基于RBF神经网络辨识的单神经元PID模型参考自适应控制-RBF neural network-based identification of single neuron PID MRAC
EstimationSideslipAngle
- 使用matlab编写的：用神经网络方法来辨识质心侧偏角程序。供大家使用参考。-Prepared using matlab: A neural network method to identify centroid lateral declination procedures. For everyone to use reference.
BPidentify_trymodel
- BP神经网络控制系统辨识的m文件原程序，经过离线训练可以仿真出采样点的变化曲线-BP neural network control system identification procedures m the original document, after off-line simulation training can change the sampling point curve
matlab_5
- 基于RBF神经网络辨识的单神经元PID模型参考自适应控制-Based on RBF Neural Network Identification of single neuron PID model reference adaptive control
FLch7NNeg2
- 多维非线性函数辨识的MATLAB程序,用神经网络学习二维非线性函数 -Identification of multi-dimensional nonlinear function of the MATLAB program, using neural networks to learn two-dimensional nonlinear function
lubang
- 电液伺服系统的动态递归模糊神经网络辨识与鲁棒控制研究 优秀的博士论文-Electro-hydraulic servo system dynamic recurrent fuzzy neural network identification and robust control of outstanding doctoral thesis research
pid
- 基于小波神经网络辨识的PID神经模型，给初学者一个简单例子-Based on Wavelet Neural Network Identification of PID neural model, a simple example for beginners
RBFbianshi
- rbf神经网络应用于系统辨识,比BP网络具有较好的泛化能力,学习速度快,辨识效果好!-rbf neural network applied to system identification, than the BP network has better generalization ability, learning speed and better recognition!
1
- BP神经网络已广泛应用于非线性建摸、函数逼近、系统辨识等方面，但对实际问题，其模型结构需由 实验确定，无规律可寻。简要介绍了利用 Matlab语言进行 BP网络建立、训练、仿真的方法及注意事项。 -BP neural network has been widely used in nonlinear modeling, function approximation, system identification, etc., but
ONlineIdentifyBaseOnFuzzyNeural
- 发表于一个核心刊物的博士论文，利用模糊神经网络构建了一个表面粗糙度的辨识系统-Core journals published in a doctoral thesis, the use of fuzzy neural network to build a surface roughness of the recognition system
fsfxx
- 本文主要研究利用神经网络进行非线性辨识及自适应控制。 -This paper studied the feasibility of using neural network nonlinear identification and adaptive control.
bianshi2
- 一个复杂系统神经网络辨识,采用改进BP算法对随机噪声的二阶系统进行模型辨识,效果挺好的.-A complex neural network system identification, using BP algorithm to improve the random noise of the second-order system identification model, the effect of the good.