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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
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
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.
identification
- 用神经网络对具有随机噪声的二阶系统模型进行辨识.-Using neural network with random noise of the second-order system identification model.
NDT2RBFGJnet
- 毕业论文里的程序,RBF神经网络辨识仿真的,希望对大家有用-Thesis in the process, RBF neural network simulation, in the hope that useful
rbf
- 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 model reference adaptive control
NN
- 利用神经网络进行系统辨识和逆辨识的程序，可以供大家参考。-The example programme of neural network for system identification and inverse system identification.
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.
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 model reference adaptive control
wavelet
- 小波神经网络实现非线性系统辨识-non-linear system identification by wavelet
feedback
- 利用神经网络中的elman网络对[-0.5 0.5]间随机信号进行系统辨识-Using elman network in the neural network ，for [-0.5 0.5] between the random signals, system identification
five
- 1.BP神经网络进行模式识别 2.用BP网络对非线性系统进行辨识 3.一个神经网络PID控制器 4.图像处理的PCA算法 5.图像处理的穷举算法-1.BP neural network pattern recognition 2. Using BP network identification of nonlinear systems 3. A neural network PID controller 4. The PCA algorithm for image process
IMC
- 智能控制里设计到的神经网络辨识 MATLAB程序-Intelligent control in design to the neural network identification MATLAB. . . .
chap9
- 神经网络控制，基于神经网络的系统辨识，神经网络与其他算法相结合，控制系统的故障诊断-Neural network control, system identification based on neural networks, neural networks combined with other algorithms, control system fault diagnosis
BP_identification
- BP神经网络用于系统辨识的例子，给出了程序和结果-BP network used for system identification
nn
- 毕业设计里面用到的bp神经网络辨识代码，打开后贴到Matlab中直接运行即可。-The bp neural network identification code was used in the graduation project,open and paste it into Matlab can be run directly.
BP_identification
- BP神经网络辨识Matlab程序。引入动量因子对BP算法进行改进，有注释，适合初学者。-BP neural network to recognize Matlab program. The introduction of momentum factor to improve the BP algorithm, annotations, suitable for beginners.
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).)
bp参数辨识
- 锂离子电池参数辨识，把各个参数作为bp神经网络的权重阀值进行学习(Parameter identification of lithium-ion batteries and learning of each parameter as the weight threshold of BP neural network)
BP_NNtool
- 能够根据样本数据训练一个很好的网络系统，根据这个系统可以很好的预测数据值(Able to predict data values well based on sample data)