搜索资源列表
RBF-matlab
- 几个用matlab编写的RBF神经网络的程序,主要是RBF网络的应用-Several prepared by RBF neural network matlab program, mainly the application of RBF network
k-means-clustering-of-rbf-
- 聚类算法:聚类分析是指事先不了解一批样品中的每一个样品的类别 基于k均值聚类学习算法的rbf神经网络实现-Clustering algorithm: cluster analysis is the prior knowledge of each batch of samples in the sample of category learning algorithm based on k means clustering of rbf neural network
BP-and-RBF
- 建立BP,RBF人工神经网络,并进行比较-Establish BP, RBF artificial neural network, and compare
RBF
- RBF code.this code is useful for imageprocessing. and applied to the images and transfer them.
RBF-(Function-Approximation)
- A project for function approximation by RBF neural network (with GUI).
GA-to-RBF
- GA to RBF 神经网络,遗传算法,滤波器,MATLAB-GA to RBF neural networks, genetic algorithms, filters, MATLAB
PSO-optimize-RBF
- 用粒子群算法优化rbf神经网络算法的源程序-Using the particle swarm optimization algorithm to optimize the neural network algorithm
RBF.m
- rbf RBF网络用于建模 ,过程很适合初学者懂的。很详细,很容易的!-RBF RBF network used for modeling, process is suitable for beginners understand. Very detailed, easy!
simulation-contrast-of-BP-and-RBF
- BP神经网络和RBF神经网络的仿真比较,附有程序代码。-BP neural network and RBF neural network simulation compared with a program code.
Rough RBF
- implement of Rough RBF in matlab
RBF网络的回归-非线性函数回归的实现
- 利用RBF神经网络对非线性函数进行回归分析(The nonlinear function is regressed by RBF neural network)
RBF估计干扰
- 用RBF神经网络算法对非线性干扰进行估计,提高控制精度,并将其与普通滑模控制进行比较。(The RBF neural network algorithm is used to estimate the nonlinear disturbance, and the control accuracy is improved.)
RBF神经网络
- 利用RBF和BP神经网络中的工具箱函数去做函数逼近,(Making use of RBF neural network to do function approximation)
RBF
- RBF 神经网络matlab 程序,应该对大家有所帮助(MATLAB program based on RBF neural network. It is very useful .)
RBF
- 解决RBF线性回归的问题,可以运行,很强大(RBF linear regression problem)
rbf
- RBF神经网络,可实现对风速预测等时间序列的预测(RBF neural network which can be used to predict time list)
RBF神经网络的训练 MATLAB源程序代码
- RBF神经网络的训练 MATLAB源程序代码(RBF neural network training MATLAB source code)
9927409GA-RBF
- 能进行rbf遗传预测,实践表明,这个算法非常好用,是个好东西(rbf forcast rbf improve)
遗传算法优化RBF神经网络
- 遗传算法优化RBF神经网络逼近非线性函数,具有较好的效果(Genetic algorithm, optimization, RBF neural network, approximation)
RBF遗传优化
- RBF网络能够逼近任意的非线性函数,可以处理系统内的难以解析的规律性,具有良好的泛化能力,并有很快的学习收敛速度,已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。(RBF network can approximate any nonlinear function, regularity can handle within the system to parse, has good generalization ability and