Extracting cellular automaton rules directly from experimental data
type: Item
instance of: scholarly article
title: Extracting cellular automaton rules directly from experimental data
zbMATH Open document ID: 0729.68063
DOI: 10.1016/0167-2789(90)90182-O
author: Fred C. Richards
author: Thomas P. Meyer
author: Norman H. Packard
published in: Physica D
publication date: 1990-01-01T00:00:00Z
Mathematics Subject Classification ID: 68Q80
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 92E99
zbMATH DE Number: 4206018
zbMATH Keywords: cellular automaton rules
zbMATH Keywords: learning algorithm
zbMATH Keywords: genetic algorithm
MaRDI profile type: Publication
cites work: Q4079017
cites work: Q3750126
cites work: Mutual information functions versus correlation functions.
cites work: Symbolic dynamics of one-dimensional maps: Entropies, finite precision, and noise
description: scientific article; zbMATH DE number 4206018