On the stability of bilayer associative memories

A recurrent bilayer neural associative memory using mid-step type and ordinary sigmoid type neurons has less destroyed and spurious memories compared with a single layer memory using correlation learning. However, its stability has not been clarified. This paper shows that such a network is stable for some relaxation.