Rafaela Benítez-Rochel

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In this paper a new neural network model that generalizes Hopfield model is proposed. It allows to implement an algorithm similar to the Dijkstra's one in order to solve the shortest path problem on a weighted graph. With this neural and parallel implementation, the presented model is adapted to possible modifications in the graph. Moreover, it is possible(More)
In this paper we propose a multivaluated recurrent neural network for vector quantization where the synaptic potential is given by a weighted sum of values of a function that evaluates the consensus between the states of the process units. Each process unit presents the state with the largest activation potential, that is, it depends on the state of the(More)
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