搜索资源列表
NNcontroller
- 实现神经网络控制的rbf逼近函数，十分经典的一个例子-NNc bijin nonlinear function
AdaptivePIDcontrolbasedonRBFIdentification
- RBF神经网络整定的PID控制，能以任意精度逼近任意连续函数-RBF neural network-tuning of PID control to arbitrary accuracy any continuous function approaching
rbfsuanli
- 强非线性的曲线函数逼近，采用MATLAB径向基神经网络-rbf ann fitness
shenjingwangluoxuexi
- 基于径向基RBF网络的函数逼近，通过在MATLAB环境下的编程、仿真，实现了对周期性函数的逼近-RBF network based on radial basis function approximation, by the MATLAB environment, programming, simulation, realization of the approximation of periodic functions
zuoye
- 利用matlab进行多项式的逼近和RBF网络函数的逼近，并分析其不同-Using matlab for polynomials RBF network function approximation, and to analyze the different
19854829rbf_Kmeans
- 人工智能MATLAB仿真，关于RBF神经网络的。进行网络逼近和模式识别。-MATLAB simulation of artificial intelligence, on RBF Neural network. The network and pattern recognition approach.
yuandaima
- RBF神经网络的逐渐逼近代码。。很实用易懂-RBF neural network gradually approaching the code. . Very useful to understand
RBFcluster
- 该matlab程序是关于基于聚类的RBF网络设计算法，其为一维输入，同时一维输出，拟合逼近效果相当好。-The matlab program is about the design of RBF network based clustering algorithm, which is one-dimensional input, one-dimensional output, fitting close to very good effect.
RBF
- 运用常规的PID控制算法很难达到人们所要求的控制效果。采用改进的BP神经网络算法进行改进具有以任意精度逼近非线性函数的能力，而且通过它的自身的学习，可以找到某一最优控制率下的PID控制器参数，使其具有更好的鲁棒性和自适应的能力。-Using conventional PID control algorithm is difficult to live up to the required control effect. The improved BP neural network algorit
RBF
- matlab环境下的RBF神经网络用于函数逼近-matlab environment RBF neural network for function approximation
RBFFunction.m
- rbf RBF网络用于函数逼近 ，过程很适合初学者懂的。很详细，很容易的！-RBF RBF network for function approximation, the process is very suitable for beginners understand. Very detailed,
shenjingwangluo
- 提出了一种模型分块逼近的RBF网络自适应控制，将其用于机械臂的位姿控制，并用Matlab软件进行了仿真。-Proposed a model block of RBF network adaptive control approach, to pose for the manipulator control, and simulation using Matlab software.
1
- rbf神经网络逼近对象的仿真实例，网络结构为2—4-1-rbf neural network to approach the object simulation example, the network structure of 2-4-1
RBF-Model-and-Procedure
- 介绍了RBF神经网络的基本模型，并根据此模型编写了相关的matlab程序，此程序可以以任意精度逼近目标值，最后可得到网络的训练次数，权值和阈值。-Introduce the RBF neural network model, and write program by matlab according to this model, this procedure can be arbitrary precision approaching the target.Finally we can get
pso_ga_RBF_network
- 用MATLAB语言编写的，采用了粒子群算法对RBF神经网络中的参数进行了优化，在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强-Written by MATLAB, using the particle swarm algorithm to RBF neural network parameters were optimized, validated in the test program through the Particle Swarm Optim
matlab-robot
- 机器人神经网络控制之RBF网络的逼近，内有mdl模型和s-fun函数。-Robot neural network control of RBF network approximation within mdl model and s-fun function.
MOptimizationa
- Matlab粒子群算法优化RBF网络采用了粒子群算法对RBF神经网络中的参数进行了优化，，在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强 -Matlab particle swarm algorithm to optimize the RBF network using particle swarm optimization of parameters in RBF neural network optimized, verified in a t
RBFFunction.m
- 5,RBF网络用于函数逼近 ,RBF网络用于函数逼近- 5, RBF network for function approximation
RBF_sin
- 自定义RBF网络，逼近y=sin(t)函数用例。-User defined RBF Neural network,take y=sin(t) as a test example
rbf.m
- RBF神经网络对非线性系统进行逼近 参数的调整-RBF neural network approach for nonlinear systems