摘要
文章研究了特征图像的自适应识别技术问题,提出了利用自适应共振理论,实现自稳定和自组织识别的人工神经网络,达到学习和自适应识别图像的应用要求,根据这一原理及规则,给出了具有自稳定分类功能的自适应学习算法。
This paper studies adaptive learning for diagnostic image recognition and expounds that adaptive resonance theory is utilized to achieve ART artificial neural network of self-stability and self-makeup for recognition,which meets the requirement of learning and adaption.In terms of the principle,an algorithm of self-stability and classifier learning is also provided.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第19期69-70,77,共3页
Computer Engineering and Applications
基金
河北省科技厅项目(编号:02213560)
石家庄铁道学院研究基金资助
关键词
自适应学习
特征图像
相似度
模式识别
Adaptive Learning,Diagnostic image,Resemblance,Pattern recognition