Constant for associative patterns ensemble

TL;DR

This paper presents a formal logic-based method for creating associative patterns ensembles using neural networks, demonstrating that the number of patterns remains constant regardless of input transformations.

Contribution

It introduces a novel procedure for forming associative pattern ensembles with neural networks, emphasizing the constancy of pattern quantity.

Findings

The set of associative patterns is generated through a unique neural network process.

The number of selected associative patterns is a constant.

The method integrates formal logic with neural network parameters.

Abstract

Creation procedure of associative patterns ensemble in terms of formal logic with using neural net-work (NN) model is formulated. It is shown that the associative patterns set is created by means of unique procedure of NN work which having individual parameters of entrance stimulus transformation. It is ascer-tained that the quantity of the selected associative patterns possesses is a constant.