Neural Network Architecture, Production Method And Programs Corresponding Thereto

A device for obtaining, within a system comprising a neural network, a piece of data representing an identifier of one neuron from among a set comprising L neurons called a cluster, L being a natural integer of a value greater than or equal to two, said cluster belonging to a neural network comprising C clusters, C being a natural integer of a value greater than or equal to two, each neuron of said neural network comprising a current state among at least two possible states, each neuron of said neural network belonging to a single cluster, wherein the device comprises:

• means for implementing an iterative process of transmission of states of neurons between said C clusters of said neural network, for at least one current cluster Ci among said C clusters, including:
• means for obtaining a set E of current states of neurons originating from at least one cluster Cj, j≠i;
• means for obtaining a set A of coefficients of adjacency between one neuron of said current cluster Ci, and one neuron of a cluster Cj of the neural network j≠i;
• and
• means for computing, as a function of said state E of states of neurons, said set A of coefficients of adjacency and as a function of at least one state among states of said neurons of said current cluster Ci, at least one winning neuron NG, delivering said piece of data representing an identifier of said at least one winning neuron NG.

A non-transitory computer-readable medium comprising a computer program product recorded thereon and comprising program code instructions execution of a method for obtaining, within a system, a piece of data representing an identifier of one neuron from among a set comprising L neurons called a cluster, when the instructions are executed on a processor, wherein L is a natural integer of a value greater than or equal to two, said cluster belongs to a neural network comprising C clusters, C is a natural integer of a value greater than or equal to two, each neuron of said neural network comprises a current state among at least two possible states, and each neuron of said neural network belongs to a single cluster, wherein the instructions configure the processor to perform the following acts during an iterative process of transmission of states of neurons between said C clusters of said neural network, for at least one current cluster Ci among said C clusters:

• obtaining a set E of current states of neurons originating from at least one cluster Cj, j≠i;
• at least one act of obtaining a set A of coefficients of adjacency between a neuron of said current cluster Ci, and one neuron of a cluster Cj of the neural network j≠i;
• and
• computing, as a function of said state E of states of neurons, said set A of coefficients of adjacency and, as a function of at least one state among the states of said neurons of said current cluster Cj, at least one winning neuron NG, delivering said piece of data representing an identifier of said at least one winning neuron NG.