搜索资源列表
rbf.rar
- rbf神经网络在变压器故障诊断中的应用,程序完整,希望大家能够用的上~,rbf neural network in the transformer fault diagnosis, procedural integrity, and hope that we can use the ~
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
- 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-network
- matlab 基于PID控制器的RBF神经网络的仿真-matlab PID controller based on RBF neural network simulation
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!
forecasting-model-of-the-RBF-network
- 可用于电力系统短期负荷预测的RBF网络模型-Can be used for short term load forecasting model of the RBF network
RBF-network
- RBF网络在matlab开发环境中的实现实例,有利于初学者学习与掌握-RBF network in matlab to achieve the development environment example, be helpful for beginners to learn and master
RBF-network-regression
- 经典教程RBF网络的回归-非线性函数回归的实现-RBF network regression- nonlinear function of the realization of reunification
RBF-network-sliding
- 基于RBF网络补偿的控制输入受限滑模控制-Compensation control based on RBF network sliding mode control input constraints
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
- 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
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.)
rbf
- 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。 简单说明一下为什么RBF网络学习收敛得比较快。当网络的一个或多个可调参数(权值或阈值)对任何一个输出都有影响时,这样的网络称为全局逼近网络。由于对于每次输入,网络上的每一个权值都要调整,从而导致全局逼近网络的学习速度很慢。BP网络就是一个典型的例子。(RBF network