ABSTRACT
There have been extensive, multi-discipline research interests in ordering chaos recently; however, most work has been done on systems with few degrees of freedom. In the case of neural networks, numerical simulations are usually relied upon to study networks with a small number of neurons. Based on our earlier work [Wang et al, Proc. Natl. Acad. Sci. USA, vol.87, 9467, 1990], we present ordering of chaos in an exactly solvable neural network with arbitrarily large number of neurons using a simple linear feedback.
