Concerto
发表于 2025-3-23 12:06:09
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conference
发表于 2025-3-23 16:43:00
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Ascendancy
发表于 2025-3-23 21:31:49
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Inflated
发表于 2025-3-23 23:25:38
Ein vereinfachtes PlanungskonzeptWe present a brief introduction to Ergodic Theory and equilibrium states of Thermodynamic Formalism. We also analyze Large deviation properties of the equilibrium states defined in Thermodynamic Formalism. Several problems related to Statistical Mechanics are consider.
有其法作用
发表于 2025-3-24 03:16:49
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挣扎
发表于 2025-3-24 08:16:03
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赏心悦目
发表于 2025-3-24 12:43:16
https://doi.org/10.1007/978-94-017-1005-3automata; entropy; network; neural networks; statistical physics; theoretical computer science
使更活跃
发表于 2025-3-24 15:17:20
978-90-481-4382-5Springer Science+Business Media Dordrecht 1994
optic-nerve
发表于 2025-3-24 21:34:31
Formal Neural Networks: From Supervised to Unsupervised Learning, architectures that are usually considered: auto-associative learning by an attractor neural network, hetero-associative learning by a feedforward net, learning a rule by example and unsupervised learning. In particular a duality between two architectures will be shown to provide a tool for comparing supervised and unsupervised learning.
TAG
发表于 2025-3-25 02:10:23
Cellular Automata, Dynamical Systems and Neural Networks