摘要： 提出了一种新型的联想记忆神经网络，神经元的状态为向量，含N个神经元的网络中存储的模式由N个具有M个分量的二级模式组成，每个模式存储在一个由N个连接组成的“模式环”中，连接由“连接状态”和“禁止路径”组成，前者用于存储二级模式，后者用于消除假模式，回忆时允许输入不完整的模式，记忆容量为(N-1)!.

关键词: 神经网络, 联想记忆, Hamming距

Abstract: In this paper, a new associative memory neural network is proposed. Neuron state is a vector. A pattern stored in a network with N neurons consist of N second level patterns with M components. Each pattern is stored in a "pattern loop", which is composed of N links. A link consists of link state and inhibited path, the former is used to store second level pattern, and the latter to eliminate spurious pattern. A incomplete pattern can be inputted into the network for recalling. The storage capacity can be up to(N-1)! .

中图分类号: 

• TP183