A new model of artificial neuron: cyberneuron and its use

TL;DR

This paper introduces the cyberneuron, a novel artificial neuron model that uses table substitution instead of multiplication, enhancing information capacity and simplifying learning, demonstrated through virus detection applications.

Contribution

The paper presents the cyberneuron model, a new neuron type that replaces multiplication with table substitution, offering increased capacity and easier learning compared to classical models.

Findings

Cyberneuron significantly increases information capacity.

Simplifies the learning process for neural networks.

Effective in detecting computer viruses.

Abstract

This article describes a new type of artificial neuron, called the authors "cyberneuron". Unlike classical models of artificial neurons, this type of neuron used table substitution instead of the operation of multiplication of input values for the weights. This allowed to significantly increase the information capacity of a single neuron, but also greatly simplify the process of learning. Considered an example of the use of "cyberneuron" with the task of detecting computer viruses.