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函数联接神经网络的实验研究
引用本文:陈焕文,龚红舫,谢建平.函数联接神经网络的实验研究[J].电工标准与质量,2000(2).
作者姓名:陈焕文  龚红舫  谢建平
作者单位:长沙电力学院数学与计算机系!湖南长沙410077(陈焕文,龚红舫),长沙交通学院网络中心!湖南长沙410076(谢建平)
摘    要:函数联接神经网络具有结构简单 ,易于实现 ,扩展性和通用性强等许多优点 .利用面向对象方法实现了函数联接神经网络的几种模型 ,探讨了该网络的变结构调整问题 ,并通过实际的例子对网络的不同模型进行了实验研究 ,提出了一个新的学习因子动态调整算法

关 键 词:函数联接网络  在线学习  离线学习  阻尼振荡学习因子

Experimental Research on Functional Link Neural Network
CHEN Huan wen ,GONG Hong fang ,XIE Jian ping.Experimental Research on Functional Link Neural Network[J].Journal of Changsha University of Electric Power(Natural Science Edition),2000(2).
Authors:CHEN Huan wen  GONG Hong fang  XIE Jian ping
Affiliation:CHEN Huan wen 1,GONG Hong fang 1,XIE Jian ping 2
Abstract:Numerous and significant advantages accrue from using a functional link network(FLN),including simplification in architecture as well as computational procedures,and uniform architecture for extension and generalization.In this paper,several models of the FLN and their implementation for dynamic structure are analyzed by using the object oriented method.Some experiments for the different models have been done by a useful application,and a new algoriothm for dynamically adjusting the learning parameter is proposed and implemented.
Keywords:functional-link network  online learning  offline learning  damped oscillation learning pa-rameter
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