A statistical approach to the identification of diploid cellular automata based on incomplete observations.
Diploid cellular automata
Parameter estimation
Stochastic cellular automata
System identification
Journal
Bio Systems
ISSN: 1872-8324
Titre abrégé: Biosystems
Pays: Ireland
ID NLM: 0430773
Informations de publication
Date de publication:
Dec 2019
Dec 2019
Historique:
received:
02
04
2018
revised:
30
03
2019
accepted:
26
05
2019
pubmed:
4
6
2019
medline:
28
5
2020
entrez:
2
6
2019
Statut:
ppublish
Résumé
In this paper, the identification problem of diploid cellular automata is considered, in which, based on a series of incomplete observations, the underlying cellular automaton rules and the states of missing cell states are to be uncovered. An algorithm for identifying the rule, based on a statistical parameter estimation method using a normal distribution approximation, is presented. In addition, an algorithm for filling the missing cell states is formulated. The accuracy of these methods is examined in a series of computational experiments.
Identifiants
pubmed: 31152774
pii: S0303-2647(18)30128-X
doi: 10.1016/j.biosystems.2019.103976
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
103976Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.