Neural network training as a dissipative process-Reference-Cited by-同舟云学术

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Neural network training as a dissipative process

Published:2016-09 Issue: Volume:81 Page:72-80
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Gori Marco,Maggini Marco,Rossi Alessandro^ORCID

Funder

Fondazione Bruno Kessler

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference10 articles.

1. The principle of least cognitive action;Betti;Theoretical Computer Science,2015

2. Variational foundations of online backpropagation;Frandina,2013

3. Foundations on support constraint machines;Gnecco;Neural Computation,2015

4. Learning with boundary conditions;Gnecco;Neural Computation,2013

5. A variational principle and the classical and quantum mechanics of the damped harmonic oscillator;Herrera;American Journal of Physics,1986

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1. Estimating the energy of dissipative neural systems;Cognitive Neurodynamics;2024-08-29

2. Spin Boltzmann machine;Nanosystems: Physics, Chemistry, Mathematics;2022-12-28

3. Molecular Learning of a Soft-Disks Fluid;2021-07-26

4. Bibliography;Machine Learning;2018

5. Learning and Reasoning With Constraints;Machine Learning;2018

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