SINGLE-LAYER PERCEPTRON BASED ON SELECTIVE NEURONS Russian patent published in 2016 - IPC G06N3/06 

FIELD: simulation of neural structures.

SUBSTANCE: invention can be used on the neural computers, in the technical systems based on neural networks for pattern recognition, analysis and processing of the images. Device has several recording neurons, inputs for the signals from the objects, internal communication channels from the inputs, individual clusters in each perceptron recording neurons, which are formed from the part of the input of communication channels of separate neurons, formation of clusters and alignment of channels number in clusters is carried out in accordance with the code combinations of input signals, clusters from communication channels are connected to summers, after summers nonlinear threshold transformations of the signals are manufactured; converted signals are used as output signals.

EFFECT: provision of an opportunity to achieve selective detection of input objects without using balance measurement of input signals, possibility of encoding the input object of a certain type by the channel number or by the number of recording neuron, compression of input information, performance increase, objects recognition reliability increase.

1 cl, 6 dwg, 1 tbl