Neural Network for Processing Arrays of Data with Existent Topology, Such as Images and Application of the Network

摘要

A neural network for processing arrays of data with pertinent topology comprises a n-dimensional array of cells (Ki) corresponding to the knots of the neural network! each cell having connections to the directly adjacent cells (Kj) forming the neighbourhood of a cell (Ki); Each cell (Ki) having inputs for each connection to directly adjacent cells; an output for the connection to one or more of the directly adjacent cells (Kj); the connection between the cells being determined by weights (wij); each cell being characterised by an internal value and being able to carry out signal processing for generating a cell output signal (ui); the output signal (ui) of a cell (Ki) being a function of its internal value and of the input signals form the neighbouring cells; each cell being associated univoquely to a record of a n-dimensional database (Pi) with pertinent topology and the value of each data record being the starting value of the corresponding cell. Processing is carried out by considering the internal value or the output value (ui) of each cell (Ki) after a certain number of iterative processing steps of the neural network as the new obtained value (Ui) for the said univocally associated data records (Pi).