Chaos and Bifurcations in Cellular Neural Networks with Changeable Output Equations
Tianai Lu · 1996
Some bifurcation phenomena are investigated when the output equation of cellular neural networks(CNNs) is changed. In a two cell CNN with opposite sign templates, two types of bifurcation points are found. For the first type the system bifurcates from unique complete stable equilibrium to an unstable equilibrium and a stable limit cycle appears.For the second type the limit cycle disappears and new equilibria are created. In a three cell CNN, when the output equation changes its form, a route to chaos by period doubling is observed numerically.