Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
type: Item
instance of: scholarly article
title: Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
zbMATH Open document ID: 1137.68050
published in: Applied Mathematics and Computation
publication date: 2008-05-16T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 92D15
zbMATH DE Number: 5276016
zbMATH Keywords: training dynamics
zbMATH Keywords: neural networks
zbMATH Keywords: complex dynamic systems
zbMATH Keywords: Markov chain approximation method
zbMATH Keywords: conservation law approximations
author: R. V. N. Melnik
MaRDI profile type: Publication
full work available at URL: j.amc.2007.09.063
OpenAlex ID: W2019178565
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DOI: 10.1016/J.AMC.2007.09.063
description: scientific article; zbMATH DE number 5276016