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Article Dans Une Revue International Journal of Neural Systems Année : 2008

A new method for the re-implementation of threshold logic functions with cellular neural networks

Résumé

A new strategy is presented for the implementation of threshold logic functions with binary-output Cellular Neural Networks (CNNs). The objective is to optimize the CNNs weights to develop a robust implementation. Hence, the concept of generative set is introduced as a convenient representation of any linearly separable Boolean function. Our analysis of threshold logic functions leads to a complete algorithm that automatically provides an optimized generative set. New weights are deduced and a more robust CNN template assuming the same function can thus be implemented. The strategy is illustrated by a detailed example.
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Dates et versions

hal-00880520 , version 1 (06-11-2013)

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Citer

Yohann Bénédic, Patrice Wira, Jean Merckle. A new method for the re-implementation of threshold logic functions with cellular neural networks. International Journal of Neural Systems, 2008, 18 (4), pp.293-303. ⟨10.1142/S0129065708001609⟩. ⟨hal-00880520⟩

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