Proposing an associative memory based on cellular neural networks
Keywords:
associative memory, cellular neural networks, Hebbian learning rule, learning ability
Abstract
This paper proposes an associative memory based on the cellular neural networks. The associative memories clearly become examplified learning and memory abilities of the neural networks. In this paper, the pattern recogition, error separable ability presented on the design with associative memory of 3x3 cellular arrays. Some experimental results are noted: memory capacity of Associative Memories of the cellular neural networks better than memory capacity of associative memories based on Hopfield or bidirectional neural networks.