Artificial Neural Networks as a Tool to Generate Algebras

Nieto-Chaupis H. · Proceedings - 2025 8th Asia Conference on Cognitive Engineering and Intelligent Interaction, CEII 2025 (2025) · DOI: 10.1109/ceii67787.2025.00059

Resumen

Instead to use fundamental formulations based in quantum mechanics, in this paper it is employed the artificial neural networks to derive algebras based in operators commonly used in string theory. Thus, important relationships can be extracted directly from a concrete double layer perceptron. Inputs become mixed structures containing derivatives as well as integrations. The paper focuses in the scenario by which layers might be perturbed. This fact has yielded the Witt's algebra. In the present case perceptron and the different topologies might not yield structures that have not necessarily a direct physical meaning. Because this some interpretations inside computational sciences as well as quantum mechanics are presented and discussed.

Instituciones: Universidad Autónoma del Perú