Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/74029
Title: A genetic programming based methodology for variable interaction determination in multivariate dynamical systems
Authors: Kandpal, M.
Mynampati, K.C. 
Lakshminarayanan, S. 
Issue Date: 2010
Source: Kandpal, M.,Mynampati, K.C.,Lakshminarayanan, S. (2010). A genetic programming based methodology for variable interaction determination in multivariate dynamical systems. 2010 International Conference on Modelling, Identification and Control, ICMIC 2010 : 173-178. ScholarBank@NUS Repository.
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.
Source Title: 2010 International Conference on Modelling, Identification and Control, ICMIC 2010
URI: http://scholarbank.nus.edu.sg/handle/10635/74029
ISBN: 9780955529337
Appears in Collections:Staff Publications

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