Abstract
In many systems, the determination of variable interaction structures using data is of central importance. For example, biological systems mainly comprise of a cascade of various interrelated metabolites/reactions such that the occurrence of one event depends on the occurrence of a prior event or a set of events of the same or different nature. This time dependent inter-correlation between the variables, once deciphered, can help in gaining a better understanding the mechanisms governing the systems and paves way for their manipulation. In the present paper, genetic programming and standard parameter estimation techniques are utilized to determine such relationships from noise corrupted datasets.
| Original language | English |
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| Title of host publication | 2010 International Conference on Modelling, Identification and Control, ICMIC 2010 |
| Pages | 173-178 |
| Number of pages | 6 |
| State | Published - Aug 23 2010 |
| Event | 2010 International Conference on Modelling, Identification and Control, ICMIC 2010 - Okayama, Japan Duration: Jul 17 2010 → Jul 19 2010 |
Other
| Other | 2010 International Conference on Modelling, Identification and Control, ICMIC 2010 |
|---|---|
| Country/Territory | Japan |
| City | Okayama |
| Period | 7/17/10 → 7/19/10 |
ASJC Scopus subject areas
- Control and Systems Engineering