Reducing Spurious States by Rotor Associative Memory

Abstract

Hopfield Associative Memory (HAM) is a typical model of associative memories. Complex-valued Associative Memory is a complex-valued version of HAM. They store not only learning patterns but other undesired patterns, which are called spurious states. The reversed patterns in HAM and the rotated patterns in CAM are typical spurious states. We propose to reduce spurious states by using Rotor Associative Memory (RAM). The RAM does not store the rotated patterns except the reversed patterns. So the RAM removes most of spurious states from the CAM. By adding a dummy state, the RAM also can remove them from the HAM. To find spurious states, we construct a searching system similar to the chaotic CAM. By using the searching system, we investigate whether the RAM can reduce the number of spurious states.