A Complex-valued design for Synergetic Computers

Properties and performances of associative memories, based on Complex-valued Synergetic Computer (CVSC), are explored in this paper. In the proposed CVSC, the state vectors, prototype vectors and order parameters are encoded by complex values. This CVSC is extended from the conventional Synergetic Computer (RVSC) in which the order parameters produce real values in processing real-valued input and stored data. Performances of associative memories in CVSC are investigated through solving a problem of image retrievals where the input images are partially occluded, noise-affected, or two-patterns superimposed. From the experimental results concerning the retrieval performances related to various sizes of images and different levels of defectiveness of input images, we conclude that CVSC outperforms RVSC.