摘要: The effect of boundary conditions on the global dynamics cellular neural networks (CNNs) is investigated. As a case study one-dimensional template CNNs are considered. It shown that if off-diagonal elements have opposite sign, then behave as bifurcation parameters and can give rise to very rich complex dynamic behaviour. In particular, they determine equilibrium point patterns, transition from stability instability occurrence several phenomena leading strange and/or chaotic attractors coexistence attractors. Then influence number cells studied, with particular reference hyperchaotic Copyright © 2006 John Wiley & Sons, Ltd.
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