METHOD OF TRAINING ARTIFICIAL NEURAL NETWORK Russian patent published in 2014 - IPC G06N3/08 

FIELD: information technology.

SUBSTANCE: method comprises steps of: determining the required number of training vectors; limiting the input vector space with a certain region O; indicating M vectors which describe the most typical representatives of each of the investigated classes of objects belonging to the region O; generating K training vectors of input signals of artificial neural networks (ANN), first in the vicinity of the M vectors, with subsequent expansion to the region O; creating visual patterns clearly describing objects specified by the generated training vectors; determining one of M classes to which each of the K generated training vectors of input signals of ANN is associated; recording the generated training vectors and reference signals corresponding to classes of objects, to which the generated vectors relate, in form of pairs; reading the recorded pairs and transmitting to ANN inputs; correcting the vector of synaptic weights of neurons w(n) with a correction step η until training of the ANN is complete.

EFFECT: training ANN without a statistically sufficient series of observations of investigated objects.

2 cl, 3 dwg