Radial Basis Function Networks Based on Adaptive Projective Learning Algorithm and Its Applications

ZHANG Zhuo-sheng; LIU Gui-zhong; LIU Feng

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Radial Basis Function Networks Based on Adaptive Projective Learning Algorithm and Its Applications

更新时间：2025-07-16

- Radial Basis Function Networks Based on Adaptive Projective Learning Algorithm and Its Applications
- Acta Electronica Sinica Vol. 28, Issue 9, Pages: 120-122(2000)
- 作者机构：
  
  西安交通大学电子与信息工程学院信息与通信工程系,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP183
- Published：2000
- 稿件说明：
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ZHANG Zhuo-sheng, LIU Gui-zhong, LIU Feng. Radial Basis Function Networks Based on Adaptive Projective Learning Algorithm and Its Applications[J]. Acta Electronica Sinica, 2000, 28(9): 120-122.
DOI：

ZHANG Zhuo-sheng, LIU Gui-zhong, LIU Feng. Radial Basis Function Networks Based on Adaptive Projective Learning Algorithm and Its Applications[J]. Acta Electronica Sinica, 2000, 28(9): 120-122. DOI：

摘要

基于自适应投影原理

本文提出了构造和训练径向基函数网络的自适应投影学习算法

该算法能迭代地确定径向基函数的个数、中心的位置以及网络的权系数

从而提供了生成径向基函数网络的一个简单和有效的方法.通过应用于信道均衡器和时间序列预报信号处理领域中的两个例子

进一步证明了该算法是行之有效的.

Abstract

In this paper

an adaptive learning procedure for constructing and training radial basis function networks is proposed

based on the adaptive projective algorithm.The procedure chooses the centers of radial basis function and the weights of networks one by one until an adequate network has been constructed

providing a simple and efficient means for growing radial basis function networks.This is illustrated by two examples on communication channel equalizer and the prediction of a time series.

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