Browsing by Subject "Perceptron"
Now showing items 1-7 of 7
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Hamiltonian-based Quantum Paths Guided by Engineered Perceptron
(IEEE, 2025-04-21)Acceso restringidoThe case of a massive particle traveling along the space-plane but guided by an algorithm based at perceptron, is presented. Essentially, it is defined the corresponding Hamiltonian that in a first instance turns out to ... -
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 ... -
Perturbed Perceptron's Input to Derive Schrödinger Equation in Artificial Neural Networks
(IEEE, 2025-04-21)Acceso restringidoWith the arrival of powerful computers and advanced algorithms, the searching of new fundamental equations describing our universe, is expected. In this manner, artificial intelligence might to be able to reproduce known ... -
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 ...
