Retrieval Performance in Complex-valued Synergetic Computer

Abstract

Synergetic Computer (SC) is a type of self-organizing computation system and has widely used for pattern recognition and/or classification problems. In the conventional SC, the order parameter is usually encoded by real values, which determines internal states. In encoding the information of images, however, the use of complex or hyper-complex values is expected to achieve the outperformance. In this paper, we propose Complex-valued synergetic computer (CVSC) where the order parameter is encoded by complex values. We further investigate the performances of our proposed CVSC through the recognition of gray-scale images, by comparing with the conventional Real-valued synergetic computer (RVSC).