搜索资源列表
bp.pso.rar
- 标准BP神经网络算法程序：动量BP算法程序：％ 调用 TRAINGDX 算法训练 BP 网络 粒子群优化神经网络源程序,The standard BP neural network algorithm procedure: momentum BP algorithm procedure: TRAINGDX called BP network training algorithm particle swarm optimization neural network source code
bp_pid01.rar
- bp神经网络PID参数自整定 S函数实现 不怎么好 期待其它完美的,bp neural network PID parameter self-tuning
BP-PID.rar
- 这是用BP神经网络搭建实现PID控制器的模型，是本人的呕血之作,This is set up by BP neural network model for the realization of PID controllers is to make of my hematemesis
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
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
ANN-pid
- 基于BP神经网络的pid控制的源代码注释-the source code comments on BP based PID Control
GAIJIN-BP-PID-BINGXING
- 基于改进的BP神经网络整定的PID控制,本程序采用了改进的BP神经网络对PID参数进行调整-Based on the improved BP neural network-tuning PID control, this program uses an improved BP neural network to adjust PID parameters
BP-neural-network-PID-control-in-the-blow-molding-
- BP神经网络PID控制在吹塑机系统中的应用BP neural network PID control in the blow molding machine system-BP neural network PID control in the blow molding machine system
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.
BP神经网络PID算法_matlab程序
- 神经网络优化pid控制程序的matlab文件，(Neural Network Optimization PID m file)
BP-PID
- 基于BP神经网络的PID参数自整定，实现PID控制器的自适应控制(Self-tuning of PID parameters based on BP neural network)
NNPID
- BP神经网络PID，智能算法matlab仿真。经典PID算法的不足(BP nenural network is designed to control the step moter, which is more pricise and steady.)
bp神经网络用于PID控制器
- bp神经网络用于PID控制器matlab代码(BP neural network used in PID controller MATLAB code)
代码
- bp神经网络pid控制，在线修正参数。。。(PID control of BP neural network)
bp_pid1
- bp神经网络PID，m文件，可以直接用，也可以跟换被控对象(PID of BP neural network)
BP
- 基于BP神经网络的中PID控制，把被控对象的模型，现在变为二阶传递函数：G(s)=1/(0.003s^2+0.067s) ，想仿真此对象的阶跃跟踪的效果(Based on BP neural network PID control, the model of the controlled object, now turned into second order transfer function: G (s) = 1 / (0.003 s ^ 2 + 0.003 s), to the simul
基于S函数的BP神经网络PID控制器Simulink仿真
- 基于S函数的BP神经网络PID控制器Simulink仿真(BP neural network PID controller Simulink simulation based on S function)
基于S函数的BP神经网络PID控制器及Simulink仿真
- 神经网络控制，基于matlab编程算法。可以学习借鉴使用(Neural network control, based on MATLAB programming algorithm. You can learn from it.)
神经网络pid控制器
- BP神经网络S函数，里面包含了simulink建模及其S函数(BP neural network S function, which includes Simulink modeling and S function)
BP神经网络优化PID程序
- 通过BP神经网络实现PID参数在线正整定。(The PID parameters are set online through BP.)