Title

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

Access to external full text or publisher's version may require subscription.

Full-text Version

Publisher’s Version

Language

English

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