Analysis and design of multivalued many-to-one associative memory driven by external inputs
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DOI: 10.1088/1674-1056/add24b
Abstract: This paper proposes a novel multivalued recurrent neural network model driven by external inputs, along with two innovative learning algorithms. By incorporating a multivalued activation function, the proposed model can achieve multivalued many-to-one associative memory,… read more here.
Keywords: driven external; associative memory; one associative; external inputs ... See more keywords