摘要
针对协同神经网络SNN具有自组织、自学习、联想记忆和自寻优等特点,提出将SNN算法应用于测量信息处理的新方法。仿真实验表明,应用SNN算法处理存在的噪声干扰和数据残缺等测量信息问题的效果良好。
Aiming to Synergetic Neural Network (SNN) has self-organization, self-study, association memory and self-search superiority trait,put forward new method that application of SNN arithmetic for measuring information processing . Researching result indicate,using SNN arithmetic processing the issue that it being wipe off noise and data fill of measuring information is very effective.
出处
《现代制造工程》
CSCD
2006年第10期90-92,共3页
Modern Manufacturing Engineering
基金
广东省科技工业攻关项目(2004B10201007和2005B16001159)
关键词
协同学
SNN算法
测量信息
Synergetics SNN arithmetic Measuring information