摘要
从实时应用的角度讨论和改进了MADALINE神经网络.给出了局部连接型MADALINE不变网络的算法结构,将算法简化为一般的矩阵运算,提出了通过学习确定固定MAJ阈值和自适应MAJ阈值的方法,用硬件实现了处理二值输入模式的局部连接型MADALINE网络,给出了MADALINE网络原型与改进型的比较结果。
From the viewpoint of real-time application, the MADALINE network for invariant feature extraction is improved. Presented are the algorithm structure for the MADALINE invariant network with local interconnection, which is simplified to usual matrix computation, and the approaches by learning to determine the adaptive MAJ threshold and the fixed MAJ threshold. The improved network with local interconnection is implemented for binary patterns. The comparisons of MADALINE with its improved version are made.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
1993年第5期357-362,共6页
Journal of Infrared and Millimeter Waves
基金
国家自然科学基金~~
关键词
神经网络
特征抽取
目标识别
neural network, real-time processing, invariant feature.
