Optimal basins of attraction in randomly sparse neural network models
E. Gardner · Journal of Physics A Mathematical and General · 1989
The size of the basin of attraction for randomly sparse neural networks with optimal interactions is calculated. For all values of the storage ratio, alpha =p/C<2, where p is the number of random uncorrelated patterns and C is the connectivity, the basin of attraction is finite, while for alpha <0.42, the basin of attraction is (almost) 100%.