Titlebook: Cellular Automata, Dynamical Systems and Neural Networks; Eric Goles,Servet Martínez Book 1994 Springer Science+Business Media Dordrecht 1

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conference

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Inflated

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.

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https://doi.org/10.1007/978-94-017-1005-3automata; entropy; network; neural networks; statistical physics; theoretical computer science

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978-90-481-4382-5Springer Science+Business Media Dordrecht 1994

optic-nerve

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.

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Cellular Automata, Dynamical Systems and Neural Networks