Topological Characterization of Complex Systems: Using Persistent Entropy
In this paper, we propose a methodology for deriving a model of a complex system by exploiting the information extracted from topological data analysis. Central to our approach is the S[B] paradigm in which a complex system is represented by a two-level model. One level, the structural S one, is der...
Main Authors: | Emanuela Merelli, Matteo Rucco, Peter Sloot, Luca Tesei |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2015-10-01
|
Series: | Entropy |
Subjects: | |
Online Access: | http://www.mdpi.com/1099-4300/17/10/6872 |
Similar Items
-
Topological classifier for detecting the emergence of epileptic seizures
by: Marco Piangerelli, et al.
Published: (2018-06-01) -
On the Measure Entropy of Additive Cellular Automata f∞
by: Hasan Akın
Published: (2003-06-01) -
Higher-Dimensional Timed and Hybrid Automata
by: Fahrenberg, Uli
Published: (2022-12-01) -
Uniform entropy vs topological entropy
by: Dikranjan Dikran, et al.
Published: (2015-12-01) -
Idiotypes as immunogens: facing the challenge of inducing strong therapeutic immune responses against the variable region of immunoglobulins.
by: Alejandro eLopez-Requena, et al.
Published: (2012-11-01)