Chaotic associative memory using distributed patterns for image retrieval

Abstract

We propose a chaotic associative memory (CAM) using distributed patterns for image retrieval. This model is based on the CAM which can separate superimposed patterns and the multi winners self-organizing neural network which has the ability to generate distributed representation patterns corresponding to input in a self-organizing manner.