Browsing by Subject "Perceptron"
Now showing items 1-5 of 5
-
Machine Learning Algorithms for Producing Equations in Physics
(IEEE, 2025-02-26)Acceso restringidoBased at the prospective scenario that computers might to replace humans, emerge the idea that them can carry out jobs as a scientist does. Thus, one might to expect that for example machine learning can be a serious ... -
Machine Learning as Mediator of Classical Electrodynamics and Quantum Mechanics
(IEEE, 2025-03-13)Acceso restringidoMachine Learning has been used as part of a closed-form operation that allows to link classical physics to quantum mechanics of a free electron radiating photons inside superintese laser field. To accomplish this an ... -
Predictive Model of Next Global Pandemic Based in Perceptron and Shannon Entropy
(IEEE, 2025-02-26)Acceso restringidoBased at the idea that global pandemic and its central peak of infections had as main cause the conjunction of variables derived from a kind of disorder, then one might to expect that data would be described by the Shannon ... -
Quantization of Energies with Machine Learning Without Quantum Mechanics
(IEEE, 2025-02-26)Acceso restringidoThe field of Machine Learning through the technique of artificial neural network is used to determine in a straightforward manner the quantized energies of a particle in an infinite well. To accomplish this, unphysical ... -
Theory and Simulation of Perceptron Through Quantum Mechanics Formalism
(IEEE, 2024)Acceso restringidoInside field of Machine Learning or ML one finds the formulation of artificial neural networks or ANN as a robust method to predict data under minimal bias. It constitutes a key procedure inside field of Artificial ...
