自适应泛函网络循环结构与代数算法  

Algebraic algorithm for adaptive functional networks loop structures

作　　者：罗淇方[1] 谢竹诚[1] 

机构地区：[1]广西民族大学数学与计算机科学学院,南宁530006

出　　处：《计算机工程与应用》2010年第29期53-55,102,共4页Computer Engineering and Applications

基　　金：国家自然科学基金(No.60461001);广西省自然科学基金(No.0832082);广西民族大学研究生教育创新资助项目(No.gxun-chx0886)~~

摘　　要：利用Banach压缩映射原理,结合层次系统的思想,提出一种自适应泛函网络循环结构和代数算法,该循环结构是由多层基本泛函网络构成,每层用代数算法训练结构的泛函参数,从而实现对整体网络结构的逼近学习。通过算例分析表明,该算法具有计算精度高、收敛速度快等特点。This paper presents the new learning algorithm for adaptive functional networks loop structures which is designed based on the Banach contraction theorem.This algorithm through levels of thought divides the adaptive functional networks loop structures into multi-storey structure composed of the basic functional networks, then uses algebra algorithm to train all levels of the structure and gets all functional parameters, so as to achieve the overall study.Finally,the simulation results demonstrate that the structure presented has high precision and fast convergence speed.

关 键 词：压缩映射原理 泛函网络 循环结构 代数算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]