Time series analysis by Kauffman networks
Document Type
Journal article
Source Publication
International Journal of Computer Mathematics
Publication Date
1-1-1996
Volume
60
Issue
1-2
First Page
49
Last Page
61
Keywords
Cellular automata, Fourier analysis, Kauffman networks
Abstract
This paper describes a way by which a Kauffman Network can be identified so that it can be used to model a system. The only known characteristics of the system is a time series of observations over the system. Fourier analysis is applied to the time series to determine the size of the Network, the values that the cells may assume, and the transition rules. Results of several experiments are reported and found to be supportive to the method derived.
DOI
10.1080/00207169608804474
Print ISSN
00207160
Publisher Statement
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Full-text Version
Publisher’s Version
Language
English