首页 | 本学科首页   官方微博 | 高级检索  
     检索      

受监督SOM学习模型定量输入-输出摄动分析
引用本文:戚湧,於东军.受监督SOM学习模型定量输入-输出摄动分析[J].系统仿真学报,2010,22(5).
作者姓名:戚湧  於东军
作者单位:南京理工大学计算机科学与技术学院,南京,210094
基金项目:supported by Innovation Foundation of CAST(CAST200839)
摘    要:给定一个学习模型,输入摄动会引起相关的输出摄动。然而,在受监督自组织学习模型中,此结论并不必定成立。针对受监督自组织学习模型的这一特性,提出一种基于统计的方法用于定量输入-输出摄动分析。所提方法对于该学习模型的精度分析及结构设计具有指导意义。数字仿真结果验证了所述方法的有效性及正确性。

关 键 词:受监督自组织映射  摄动分析  学习模型  神经网络  

Quantitative Input-Output Perturbation Analysis of Supervised SOM Learning Model
QI Yong,YU Dong-jun.Quantitative Input-Output Perturbation Analysis of Supervised SOM Learning Model[J].Journal of System Simulation,2010,22(5).
Authors:QI Yong  YU Dong-jun
Abstract:Input-output perturbation analysis is one of the most important aspects in designing and analyzing a learning model.In many learning models,an input perturbation will often give rise to an associated output perturbation.However,this is not necessarily the case for a supervised self-organizing map (SOM) learning model.A statistical-based method was proposed to quantitatively analyze the inputoutput perturbation of the supervised SOM learning model by considering this special characteristic.The method will ma...
Keywords:supervised SOM  perturbation analysis  learning model  neural network  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号