Modeling, analysis and design of a class of cellular neural networks
作者： G. Grassi , D. Cafagna
关键词:
摘要: In this paper modeling, analysis and design of a class Cellular Neural Networks (CNNs) are discussed. particular, discrete-time CNN model is introduced the global asymptotic stability its equilibrium point analyzed. By taking into account such results, novel technique for designing associative memories developed. The objective achieved by satisfying frequency domain criteria via feedback parameters related to circulant matrices. approach, generating CNN's conditions, enables both hetero-associative auto-associative be designed. Finally, two examples highlight capabilities designed networks in storing retrieving information.
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