抗体网络基于邻接矩阵的算法实现  

Realizing Algorithms of ABNET Based on Adjacency Matrix

作　　者：匡胤[1] 

机构地区：[1]内江师范学院计算机与信息科学系,四川内江641112

出　　处：《内江师范学院学报》2006年第4期31-33,共3页Journal of Neijiang Normal University

基　　金：四川省教育厅青年基金项目(2005B043)

摘　　要：D e C astro等提出一种基于人工免疫原理的竞争神经网络模型-抗体网络。但目前关于抗体网络的研究还停留在原理介绍和实验验证阶段,没有应用在工程问题中的实例。在综合考虑算法复杂性等因素的基础上,利用邻接矩阵作为存储结构,给出了抗体网络主要操作的算法,为抗体网络在工程问题中的应用提供了一个具体的实现方案。ABNET, which was proposed hy De Castro, was a competitive artificial neural networks based on artificial immune principle. But the research about ABNET is still on the phase of introduction and certification, without examples applied in engineerings. Synthetically considering complexity of algorithms and using adjacency matrix as storage structure, the main algorithms of ABNET have been achieved, which supplies a scheme for ABNET to be applied in engineerings.

关 键 词：抗体网络 拓扑结构 存储结构 邻接矩阵 算法 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]