Browsing Ingeniería de Sistemas by Subject "Machine learning"
Now showing items 21-24 of 24
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The Criteria of Mitchell to Interpret Classical Radiation as Compton Scattering
(IEEE, 2022)Acceso restringidoThe principles of Machine Learning through the criteria of Mitchell are used to validate a concrete quantum-mechanics interpretation from a classical radiation scheme inside the framework of linear and nonlinear Compton ... -
The Machine Learning Principles Based at the Quantum Mechanics Postulates
(Springer Link, 2022)Acceso restringidoQuantum mechanics is governed by well-defined postulates by the which one can go through either theory or experimental studies in order to perform measurements of microscopic dynamics of elementary particles, atoms and ... -
The Quantum Mechanics Propagator as the Machine Learning Performance in Space-Time Displacements
(Institute of Electrical and Electronics Engineers, 2021-12)Acceso restringidoThe role of evolution operator is to provide the time displacement of wave function through the Hamiltonian of the system. The usage of coordinates representation gives the well-known propagator that is the Green’s function. ... -
Theory of machine learning based on nonrelativistic quantum mechanics
(World Scientific, 2021)Acceso restringidoThe goal of this paper is the presentation of the elementary procedures that normally are done in nonrelativistic Quantum Mechanics in terms of the principles of Machine Learning. In essence, this paper discusses Mitchell's ...