当前位置:
首页 资源下载
搜索资源 - Radial basis function neural network
搜索资源列表
-
0下载:
matlab 通用神经网络代码
通用径向基函数网络-General neural network matlab code for common radial basis function networks
-
-
0下载:
RBF径向基函数预测的matlab算法,在神经网络算法中预测效果好-Radial basis function RBF prediction matlab algorithm, the neural network algorithm predicted effective
-
-
0下载:
此程序是神经网络中基于梯度的径向基函数算法,在MATLAB中实现。用一个2-n-1结构的RBF网对SISO系统进行建模,网络的两个输入为u(k-1)和y(k-1),输出为 y(k)。令y(0)=0,按飞线性系统产生200个样本,其中前100个样本用于训练,后100个样本用于测试。-This procedure is based on the gradient neural network radial basis function algorithm is implemented in MATL
-
-
0下载:
此程序是神经网络中基于聚类的径向基函数算法,在MATLAB中实现。用一个2-n-1结构的RBF网对SISO系统进行建模,网络的两个输入为u(k-1)和y(k-1),输出为 y(k)。令y(0)=0,按飞线性系统产生200个样本,其中前100个样本用于训练,后100个样本用于测试。-This procedure is based on neural network clustering of radial basis function algorithm is implemented in MAT
-
-
0下载:
神经网络原理 Simon Haykin
基本涵盖了神经网络的许多基础部分和重要方面。像Back Propagation, Radial-Basis Function,Self-Organizing Maps,以及single neuron中的Hebbian Learning, Competitive Learning和LMS Learning。 -Neural network theory Simon Haykin covering the basic part of the neural
-
-
0下载:
A radial basis function network is an artificial neural network that uses radial basis functions as activation functions. It is a linear combination of radial basis functions. They are used in function approximation, time series prediction, and contr
-
-
0下载:
一个采用matlab语言编写的RBF径向基函数神经网络模式分类的小程序。-A written by matlab language of the radial basis function (RBF neural network pattern classification of small programs
-
-
0下载:
In this work, Artificial Neural Networks are employed in a Fault Detection and Isolation scheme for robotic manipulators. Two networks are utilized: a Multilayer Perceptron is employed to reproduce the manipulator dynamical behavior, generating a res
-
-
1下载:
径向基函数RBF神经网络的Matlab实现代码-Radial basis function RBF neural network Matlab implementation code
-
-
0下载:
matlab 通用神经网络代码
学习了一段时间的神经网络,总结了一些经验,在这愿意和大家分享一下,希望对大家有帮助,也希望大家可以把其他神经网络的通用代码在这一起分享感应器神经网络、线性网络、BP神经网络、径向基函数网络-MATLAB general neural network code learning neural network for some time, summed up some experience in this and we are willing to share,
-
-
0下载:
基于径向基(rbf)神经网络的预测控制器设计中对神经网络进行聚类分析-Based on radial basis function (RBF) cluster analysis to the neural network forecast controller design of neural networks
-
-
0下载:
利用径向基函数神经网络求解非线性函数逼近问题。-Using radial basis function (RBF) neural network to solve nonlinear function approximation problem.
-
-
0下载:
基于RBF神经网络辨识的神经PID控制,两个神经网络,一个辨识,另一个控制
-Radial Basis Function (RBF) neural network (NN) is powerful computational tools,which have been used extensively in the areas of pattern recognition,
-
-
0下载:
PID Control Based on RBF Neural Network for Ship Steering-A PID control combined with Radial Basis Function (RBF) neural network was proposed for course control of ship
steering.
-
-
0下载:
利用BP神经网络与RBF(径向基函数)网络对三类目标(W.zip, T.zip, B.zip)进行分类.-BP neural network and RBF (Radial Basis Function) network on three targets (W.zip, T.zip, B.zip) classification.
-
-
0下载:
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
-
-
0下载:
radial basis function network is an artificial neural network that uses radial basis functions a ctivation functions. The output of the network is a linear combination of radial basis functions of the inputs and neuron parameters. Radial basis functi
-
-
0下载:
利用BP神经网络与RBF(径向基函数)网络对三类目标(W.zip, T.zip, B.zip)进行分类,比较两种网络的分类性能-BP neural network and RBF (Radial Basis Function) network on three goals (W.zip, T.zip, B.zip) categorize performance comparison of the two networks
-
-
0下载:
自适应神经网络图书馆(Matlab的5.3.1或更高版本)是实现多个自适应神经网络具有不同的自适应算法块的集合。
它主要分布于2001年6月 - 7月詹皮耶罗坎帕(西弗吉尼亚大学)和马里奥·卢卡Fravolini(佩鲁贾大学)。后来改善部分由美国航天局资助NCC5-685支持。
有迹象表明,实施基本上这些种神经网络的块:
自适应线性网络(ADALINE)
多层感知层网络
广义径向基函数网络
动力单元结构(DCS)网络的高斯或圆锥形基函数
-
-
0下载:
基于神经网络径向基网络预测地下水位的matlab编程-Radial basis function network based on neural network to predict groundwater level matlab programming
-