ON A MODEL OF TWO-LAYER NEURAL NETWORK WITH ORTHOGONALIZED STORAGE
具有正交化存储模式的双层神经网络模型研究

A model of two-layer neural network with orthogonalized storage is proposed. A system based on the model will have a capability of both auto-associative and hetero-associative memories. Monte Carlo simulation shows that the maximum number of stored key patterns with the model can he up to N(the number of neurons in each layer of the network) and a good content-addressability is achieved.