Multiplierless digital learning algorithm for cellular neural networks

R. Perfetti, Giovanni Costantini · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · 2001

A new learning algorithm is proposed for space-varying cellular neural networks, used to implement associative memories. The algorithm exhibits some peculiar features which make it very attractive: the finite precision of connection weights is automatically taken into account as a design constraint; no multiplication is needed for weight computation; learning can be implemented in fixed point digital hardware or simulated on a digital computer without numerical errors.

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