Effectiveness of the small world network in the morphological associative memory

Abstract

Ritter developed the morphological associative memory (MAM) which is able to achieve the perfect recall. The MAM is a powerful associative memory compared to an ordinary associative memory. However, the MAM needs the kernel image which is difficult to design. On the contrary, the associative memory with small-world network is known as effective network which is able to improve recall rate and reduce memory matrices compared to regular network. The small-world network is produced without difficulty so that the network is useful. We try to improve of the perfect recall rate and reduce the memory matrices using the small-world network.