Abstract
A concept of image recognition is considered on the basis of a combination of signals that are close to the original. A new type of neuron is proposed, which implements an elementary recognition operation. Operation principles of some deterministic neural networks are considered. Examples of identification and classification of signals in the presence of distortions, noises, and interference are given.
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