搜索资源列表
pid
- BP神经网络PID仿真，利用BP神经网络构造PID控制器，并编写matlab程序对其性能进行仿真。
BPbasedPIDControl
- 基于BP网络的PID控制程序 (MATLAB实现的哟)
nnpid
- bp训练PID系数，《先进pid及MATLAB仿真》修改实现
BP神经网络结构PID控制器设计
- BP神经网络结构PID控制器设计，严格按照增加动量项写的MATLAB程序。,Structure of BP neural network PID controller design, in strict accordance with the increasing momentum of procedures written in MATLAB.
bppid.rar
- S函数的BP神经网络PID控制器Simulink仿真,S function of BP neural network PID controller Simulink simulation
fadongjiMBP
- 伺服电机的神经网络参数自整定程序，利用BP误差反向传播算法改变PID 控制参数以获得优越的控制效果-Servo motor parameters of the neural network self-tuning procedures, the use of error back-propagation algorithm BP to change PID control parameters for superior control
GA
- 遗传算法优化BP神经网络程序,很不错的，值得学习-GA for BP neural network training
linbppid1
- bp神经网络pid控制小车倒立摆的摆角和小车的位移-inverted pendulum control bppid car
GA-BPNN
- 传统遗传算法优化BP网络的权值和阀值，获得较好的收敛性-GA,BP
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
Matlab-BP
- 基于BP神经网络的ＰＩＤ控制 绝对能运行的-Based on BP neural network PID control can certainly run
CHAP4_3
- matlab+PID控制程序,基于BP神经网络的控制程序-matlab+ PID control program
PSO_BP
- pso优化BP，非常实用，具有较好的预测能力-pso optimal BP，Very practical, with good predictability
BP_PID
- 基于BP网络的PID控制参数整定，进行智能PID控制的研究-Based on the BP network PID control parameter setting, an intelligent PID control research
BP-network
- matlab 基于PID控制器的BP神经网络系统的仿真-matlab PID controller based on BP neural network system simulation
BP-for-C-and-Matlab
- bp算法C语言和matlab版，主要用于非线性系统的建模与控制，另外还有一个基于PID的BP算法-BPfor C and Matlab,Mainly used for nonlinear system modeling and control
BP_PIDcontrol
- 智能控制理论中课程设计的一个实例，是bp-pid控制的一个针对非线性的matlab课程设计任务书和源代码。-Intelligent control theory in an example of curriculum design is a bp-pid control design for nonlinear matlab program mission statement and source code.
BP-Neural-network-PID
- 神经网络的结构选4-5-3，学习速率为0.28，惯性系数为0.04，加权系数初始值取-0.5-0.5上的随机数。-4-5-3 neural network structure selection, the learning rate is 0.28, the inertia coefficient is 0.04, the initial value of weighting factor to take-0.5-0.5 the random number.
bpnet
- 智能控制；BP神经网络算法；PID控制器MATLAB 仿真-Intelligent Control BP neural network algorithm MATLAB simulation, the PID controller
The-BP-neural-network
- Matlab的编程例题，关于BP神经网络的PID温度控制-Matlab programming examples on BP neural network PID temperature control