THE ATTRACTOR BASIN OF NEURAL NETWORK WITH CORRELATED INTERACTIONS
Zheng‐Hua Tan, Lothar Schülke · International Journal of Modern Physics B · 1996
The attractor basin is studied when correlations (symmetries) in the interaction are imposed for diluted Gardner-Derrida neural network. A clear relation between the attractor basin and the symmetry is obtained in a small range of symmetry parameter. The size of the attractor basin is smaller than that in the case without imposed correlations. For special values of the symmetry parameter the model leads to results obtained in the model with no correlations.