Work

Towards a Simple Table-Based Model of Networks

Year: 2026

Type: article

Abstract: This paper presents a simple table-based environment for constructing and studying networks. A network is represented as a table whose rows define node gates, values, functions, weights and connections. The same representation can be used to model learning systems, feedback systems, oscillators, random processes and user-defined extensions. Several educational examples are presented. The approach emphasises simplicity, visibility of information flow and ease of experimentation, while requiring minimal software training.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.24079223

Author: Lepek, Alexander

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7225661406

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