搜索资源列表
chaper3
- 《机器人控制系统设计与matlab仿真》第三章“机器人神经网络自适应控制”源代码-" Robot control system design and the matlab simulation" " robot neural network adaptive control source code
Untitled
- 地震 用神经网络自适应竞争系统实现 等级的显示-Earthquake adaptive neural network competition level display
Neat
- 神经网络自适应进化程序，议事项自动建模优化。基于visual C++平台-Neural network adaptive evolutionary program, aimed to modeling and optimization automatically, based on visual C++ platform
filter
- ７个源代码都是关于自适应噪声滤除技术的，其中包括小波分析，ＬＭＳ，ＲＬＳ，ＮＬＭＳ自适应滤波器，前向神经网络，ＢＰ神经网络自适应除噪-here seven of the source code are adaptive noise filtering technologies, including wavelet analysis, LMS, RLS, NLMS adaptive filter, to the neural network, BP neural network adaptive
RBF-network-control
- RBF神经网络自适应控制,matlab仿真-RBF network control
RBF-NEURAL-CONTROOL
- RBF神经网络自适应控制MATLAB仿真代码-RBF neural control
Flexible-neural-network(FNN)
- 开关磁阻电机，直接转矩控制，速度闭环，柔性神经网络自适应PID控制，转矩脉动可达2 -Switched reluctance motor, direct torque control, closed loop speed, flexible neural network adaptive PID control, torque ripple of up to 2
chengxuthiee
- 双力臂机械手控制基于不确定补偿神经网络自适应控制-Dual-arm robot control based on uncertain compensation Neural Network Adaptive Control
chengxufour
- 单力臂机械手控制基于模型分块的机器人神经网络自适应控制-Single-arm robot control block of model-based neural network adaptive control robot
chengxufive
- 双力臂机械手控制，基于分块模型逼近的机器人神经网络自适应控制-Dual-arm robot control, block model approach based on neural network adaptive robot control
The-robot-adaptive-control
- 机器人神经网络自适应控制，用于研究机器人控制算法，提供源码-Neural network adaptive control, robot control algorithm is used to study the robot, to provide the source code
rbf_pid_code
- 在MATLAB环境中实现RBF神经网络自适应控制-Implement RBF Neural Network Adaptive Control in the MATLAB environment
4
- 工作空间机械手的神经网络自适应控制程序 加入神经网络智能算法 可以很好地逼近模型实例 -Workspace robot neural network adaptive neural network control program added intelligent algorithm can approximate model instance
rbf_IP
- 基于RBF神经网络自适应控制的一级直线倒立摆仿真——simulink-linear inverted pendulum simulation based on the RBF neural network adaptive control
代码及文章
- 自适应动态规划,数据驱动模型，神经网络，最优跟踪控制，鲁棒控制 Data-Driven Robust Approximate Optimal Tracking Control for Unknown General Nonlinear Systems Using Adaptive Dynamic Programming Method(Adaptive dynamic programming, data-driven model, neural networks, optimal trackin
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)
ADP
- 自适应动态规划，利用BP神经网络，进行迭代更新，得到最优值(Adaptive dynamic programming using BP neural network)
Project1
- 多层神经网络，在训练过程中采用自适应学习率Adagrad方法。可以实现回归或分类问题。(The adaptive learning rate Adagrad method is adopted in the training process of the multilayer neural network. Regression or classification problems can be achieved.)
TDCS
- 仿真了变换域通信系统在自适应方法和遗传算法优化神经网络方法下的误码率(The BER of the transform domain communication system is simulated by adaptive method and genetic algorithm)
Untitled
- 建立BP神经网络， 12个隐层神经元，4个输出神经元 tranferFcn属性 'logsig' 隐层采用Sigmoid传输函数 tranferFcn属性 'logsig' 输出层采用Sigmoid传输函数 trainFcn属性 'traingdx' 自适应调整学习速率附加动量因子梯度下降反向传播算法训练函数 learn属性 'learngdm' 附加动量因子的梯度下降学习函数(The BP neural network is established, with 12 hidden la