DocumentCode
577756
Title
Approximation of boolean networks
Author
Cheng, Daizhan ; Zhao, Yin ; Kim, Jongrae ; Zhao, Yunbo
Author_Institution
Key Lab. of Syst. & Control, Inst. of Syst. Sci., Beijing, China
fYear
2012
fDate
6-8 July 2012
Firstpage
2280
Lastpage
2285
Abstract
The problem of approximation to large-scale Boolean networks is considered. First, we assume a large-scale Boolean network is aggregated into several sub-networks. Using the outputs(or inputs) of each sub-network as new state variables, a new simplified time-varying network is obtained. Then a time-invariant Boolean network is used to approximate each subsystem. Observed data are used to find the best approximating dynamic models. Finally, the aggregation method is investigated.
Keywords
Boolean algebra; approximation theory; biology; time-varying systems; aggregation method; best approximating dynamic model; large-scale Boolean network approximation problem; state variables; subnetwork outputs; time-invariant Boolean network; time-varying network; Aggregates; Approximation methods; Biological system modeling; Computational modeling; Control systems; Mathematical model; Vectors; Aggregation; Approximation; Boolean network; Modularity;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6358254
Filename
6358254
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