用于不变特征抽取的MADALINE网络的改进和硬件实现

从实时应用的角度计论和改进了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ＭＡＴ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。

IMPROVEMENT AND IMPLEMENTATION OF MADALINE NETWORK FOR INVARIANT FEATURE EXTRACTION

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.