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基于局部泛化误差界的RBF网络训练方法研究
- 基于局部泛化误差界的RBF网络训练方法研究
rbf
- 实现了RBF网络,已载入训练和测试样本,可根据需要将其更换-Achieved a RBF network, has been printed in the training and test samples may be needed to replace
FUZZY-RBF-PID
- 基于模糊RBF网络整定的PID控制,采用增量PID形式-RBF network based on fuzzy tuning of PID control, PID form of incremental
RBF
- RBF网络源代码,VB开发,用于预测等,已调试运行-RBF network source code, VB development, for prediction, has been commissioning
rbf
- 用rbf网络 实现神经网络学习算法 可以在matlab直接运行 其中有些参数可以自由根据情况改动-rbf
rbf
- RBF网络逼近函数子程序-RBF network approximation function subroutine
RBF-k
- RBF(径向基神经网络)网络是一种重要的神经网络,RBF网络的训练分为两步,第一步是通过聚类算法得到初始的权值,第二步是根据训练数据训练网络的权值-RBF (radial basis function neural network) network is an important neural network, RBF network training is divided into two steps, first step is to get through the initial clus
RBF
- RBF神经网络的源程序 遗传RBF网络 RBF神经网络对非线性系统进行逼近-RBF neural network of the source of genetic RBF neural network RBF network to approximate the nonlinear system
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
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!
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网络程序
- RBF网络程序,内含大量的RBF网络程序,源文件。(RBF network program, containing a large number of RBF network procedures, source files.)
粒子群算法优化RBF网络
- 粒子群算法优化RBF网络的matab程序(Particle swarm optimization RBF network MATAB program)
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
基于RBF网络逼近的自适应控制
- 基于RBF网络逼近的自适应控制,含有详细内容讲解,仿真实例以及详细的MATLAB代码(RBF network approximation based adaptive control, including detailed explanations, simulation examples, as well as detailed MATLAB code)
RBF-k均值聚类
- RBF(径向基神经网络)网络是一种重要的神经网络,RBF网络的训练分为两步,第一步是通过聚类算法得到初始的权值,第二步是根据训练数据训练网络的权值。RBF权值的初始聚类方法较为复杂,比较简单的有K均值聚类,复杂的有遗传聚类,蚁群聚类等,这个RBF网络的程序是基于K均值聚类的RBF代码。(RBF (radial basis function network) is an important neural network. The training of RBF network is divided
RBF网络遗传算法优化程序
- RBF网络遗传算法优化程序,很好的程序,希望大家可以学习(It is ga_RBF,it is very nice and easy to use)
神经网络
- 利用RBF网络进行仿真实验,进行数据的分类(Using RBF network to carry out simulation experiments and classify the data)
模型分块逼近的机器人RBF网络自适应控制
- 对于模型分块逼近的机器人RBF网络的自适应控制仿真程序(An Adaptive Control Simulation Program of Robot RBF Network for Model Blocking Approximation)
粒子群算法优化RBF网络
- 粒子群算法优化RBF网络,有相关解释,matlab源码!可以跑通(Particle swarm optimization RBF network, there are relevant explanations, matlab source code! You can run through.)