A synergetic neural network with cross-correlation dynamics
Jun Kitahara, Masahiro Marshall Nakagawa · Electronics and Communications in Japan (Part III Fundamental Electronic Science) · 1998
In this paper, a cross-correlation type synergetic neural network is proposed that realizes a perfect association. This model enables perfect association by incorporating synergetic dynamics into a conventional cross-correlation type association memory model. The association sequence is determined by the value of the product of the initial order parameters for an input pattern. Furthermore, we report on the usefulness of introducing chaotic fluctuations from the point of view of applications of this model to the time series configuration of many patterns and the time reduction needed for association. © 1998 Scripta Technica, Electron Comm Jpn Pt 3, 81(9): 37–47, 1998