搜索资源列表
MNN_package.zip
- 基于BP模型的神经网络模型，simulink仿真模型,BP model based on neural network model, simulink simulation model
Simulink仿真环境
- 一级倒立摆的模糊控制与神经网络控制。Simulink仿真环境。使用说明：在使用模糊控制时先把*.fis导入workspace，否则无法运行。,An inverted pendulum fuzzy control and neural network control. Simulink simulation environment. Usage: in the use of fuzzy control to import*. fis first workspace, otherwise it is
daolibai.rar
- 倒立摆的仿真程序，作为模糊神经网络的入门程序很不错。,Inverted pendulum simulink simulation program as a fuzzy neural network entry procedure very well
BP_tanh_linaer
- BP神经网络Simulink模型。。例子给了个离散传递函数。训练后的网络可以逼近任意传递函数，或者非线性函数。-Simulink model of BP neural network. . Examples for the discrete transfer function. Trained network can approximate any transfer function, or the nonlinear function.
Neural-network-intelligent-control
- 机器人手臂神经网络智能控制建模，simulink仿真，源代码-Neural network intelligent control of robot arm model, simulink simulation, source code
A-neural-network-model
- 一个神经网络的m生成程序和simulink模型。-A neural network of M procedures and SIMULINK model.
nnpidcontroll
- Matlab 神经网络离散PID控制实例，在Simulink环境中搭载仿真模块即可实现，结果图效果不错-Matlab neural network PID control of discrete examples, in the Simulink environment with simulation module can be realized, the results of Fig good results
2
- matlab simulink,神经网络模型1-matlab simulink, neural network model 1
matlabsimulink
- 《MATLAB控制系统仿真与实例详解》一书的光盘源码。图书简介：本书详细地讲解了MATLAB 7.x的功能与相关操作以及MATLAB在控制系统中的仿真应用。本书内容包括控制系统仿真基础、MATLAB程序设计语言基础、控制系统理论基础、Simulink交互式仿真环境、控制系统建模、线性控制系统的分析与仿真、PID控制系统设计及仿真、最优控制系统设计、鲁棒控制系统设计、神经网络系统设计及其MATLAB实现、模糊控制系统设计和系统辨识。 -" MATLAB Control System S
DT2RBFGJnet
- 毕业论文里的程序,RBF神经网络拟合大迟延对象的程序-Thesis in the process, RBF neural network fitting procedure for large delay target
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
pendulum_neurul
- 经典倒立摆问题的神经网路控制器仿真，对了解神经控制和simulink仿真很有用-Classic inverted pendulum control problem of neural network simulation, neural control and the understanding of the usefulness of simulation simulink
Simulinkinthecontrolsystem
- 包含Simulink在控制系统、人工神经网络中的应用-With Simulink in the control system, the application of artificial neural network
Qlearningcar
- Simulink 控制VR环境中的小车。小车有5个距离传感器，能够慢慢学会避开墙壁和障碍物。小车采用加强学习（Q learning），采用神经网络对Q函数逼近。由于使用了模拟退火，小车在开始的时候会经常撞击障碍物，10次后基本就不会再撞了。 -VR environment Simulink control car. There are 5 car distance sensor, can gradually learn to avoid walls and obstacles. Car us
NEURAL-NETWORK
- this doc for neural network based matlab simulink code -this doc for neural network based matlab simulink code
Robot-fuzzy-neural-network2
- 机器人模糊神经网络matlab的simulink建模，源代码-Robot fuzzy neural network matlab simulink model of the source code
neural-network-and-Matlab
- 本书重点介绍了ＭＡＴＬＡＢ６.５神经网络工具箱中各种神经网络模型及基本理论，以及各种神经网络模型的MATLAB仿真程序设计方法，提供了MATLAB中神经网络工具箱函数的详解，对图形用户界面、SIMULINK和自定义神经网络等内容也进行了简介。-This book focuses on the neural network toolbox MATLAB6.5 various neural network models and basic theory, and a variety of neura
shenjingwanglou-Simulink
- 神经网络的Simulink应用 主要有基于Simulink的神经网络模块和网络控制系统-Simulink neural network based mainly Simulink neural network module and network control systems
NNC_PID_1_2
- 该MDL主要通过Matlab Simulink实现神经网络的PID控制，两个例子中神经网络模块分别利用Simulink\User-Defined Functions\MATLAB Fcn和S函数方式实现。在S函数中引入T,nh,xite,alfa,kf1,kf2等参数，在S-Function模块的Parameters处予以初始化。并附带了S函数的使用方法，供大家学习Simulink中两种自定义模块的使用方法。(The MDL mainly through the Matlab Simulink
neural network regulation
- neural network controller using matlab simulink