搜索资源列表
RBF
- RBF神经网络：rbf原理：所谓径向基函数(Radial Basis Function 简称 RBF），就是某种沿径向对称的标量函数。通常定义为空间中任一点x到某一中心xc之间欧氏距离的单调函数，可记作 k(||x-xc||），其作用往往是局部的，即当x远离xc时函数取值很小。最常用的径向基函数是高斯核函数，形式为 k(||x-xc||)=exp{- ||x-xc||^2/（2*σ）^2） } 其中xc为核函数中心，σ为函数的宽度参数，控制了函数的径向作用范围。在RBF网络中，这两个参数往往是可
BPneuro
- 基于BP神经网络的非线性系统预测控制分析-predictive control of nonlinear systems Based on the BP neural network
CMAC_example
- 先进PID控制，小脑神经网络与PID结合实现系统控制-Advanced PID control, cerebellar network and PID system control
ZeroBpNeural
- 零阶控制系统用BP神经网络进行PID控制，干扰函数为高斯白噪声的Matlab程序-Zero-order control system with BP neural network PID control function is Gaussian white noise interference Matlab program
OneBpNeural
- 一阶控制系统与BP神经网络PID控制功能是高斯白噪声干扰的Matlab程序-One-order control system with BP neural network PID control function is Gaussian white noise interference Matlab program
lingyie_v38
- 包括最小二乘法、SVM、神经网络、1_k近邻法,从先验概率中采样，计算权重，使用matlab实现智能预测控制算法。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Sampling a priori probability, calculate the weight, Use matlab intelligent predictive control algorithm.
fenfui
- 基于人工神经网络的常用数字信号调制，可实现对二维数据的聚类，加入重复控制。- The commonly used digital signal modulation based on artificial neural network, Can realize the two-dimensional data clustering, Join repetitive control.
FuzzyHomework
- 里面有2个模型，一个是用单神经源来实现PID控制，一个是用BP神经网络实现PID控制。都是用S函数实现。-There are two models, one is to realize PID control with single neural source, one is to use the BP neural network to realize PID control. Is using S function implementation.
paotiu_v46
- 使用matlab实现智能预测控制算法，BP神经网络的整个训练过程,算法优化非常好，几乎没有循环。- Use matlab intelligent predictive control algorithm, The entire training process BP neural network, Algorithm optimization is very good, almost no circulation.
goujao
- 实现串口的数据采集，BP神经网络的整个训练过程,加入重复控制。- Achieve serial data acquisition, The entire training process BP neural network, Join repetitive control.
laoyen_v52
- IMC-PID是利用内模控制原理来对PID参数进行计算，gmcalab 快速广义的形态分量分析，BP神经网络用于函数拟合与模式识别。- The IMC- PID is using the internal model control principle for PID parameters is calculated, gmcalab fast generalized form component analysis, BP neural network function fitting and
sangai_v11
- DC-DC部分采用定功率单环控制，D-S证据理论数据融合，基于人工神经网络的常用数字信号调制。- DC-DC power single-part set-loop control, D-S evidence theory data fusion, The commonly used digital signal modulation based on artificial neural network.
niequn_v12
- 基于人工神经网络的常用数字信号调制，双向PCS控制仿真，GSM中GMSK调制信号的产生。- The commonly used digital signal modulation based on artificial neural network, Two-way PCS control simulation, GSM is GMSK modulation signal generation.
RBF_MRAC_Direct
- RBF神经网络模型自适应控制算法Delphi语言编写绝对可以执行适合相关人员研究参考-RBF MRAC delphi codes ok
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
backstep
- 一级直线倒立摆的反演控制及基于RBF神经网络的反演控制-linear inverted pendulum control based on backstepping control and RBF neural networks
ny452
- 包括最小二乘法、SVM、神经网络、1_k近邻法,isodata 迭代自组织的数据分析，DC-DC部分采用定功率单环控制。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Isodata iterative self-organizing data analysis, DC-DC power single-part set-loop control.
jun_xi64
- 是一种双隐层反向传播神经网络，Pisarenko谐波分解算法,IMC-PID是利用内模控制原理来对PID参数进行计算。- Is a two hidden layer back propagation neural network, Pisarenko harmonic decomposition algorithm, The IMC- PID is using the internal model control principle for PID parameters is calculate
matlab-FUZZY
- 基于模糊控制和RBF神经网络结合的负荷预测研究，PPT-Load forecasting based on fuzzy control and RBF neural network, PPT
rukjc
- 进行逐步线性回归，包括最小二乘法、SVM、神经网络、1_k近邻法,包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角。- Stepwise linear regression, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, It comprises aircraft flight attitude control, such as slip angle, tilt