TY  - JOUR
A1  - Brause, Rüdiger W.
T1  - Adaptive modeling of biochemical pathways
T2  - International Journal on Artificial Intelligence Tools
N2  - In bioinformatics, biochemical pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations to the available data. Here, the approach of systematically learning the parameters is necessary. In this paper, for the small, important example of inflammation modeling a network is constructed and different learning algorithms are proposed. It turned out that due to the nonlinear dynamics evolutionary approaches are necessary to fit the parameters for sparse, given data. Keywords: model parameter adaption, septic shock. coupled differential equations, genetic algorithm.
KW  - model parameter adaption
KW  - septic shock
KW  - coupled differential equations
KW  - genetic algorithm
Y1  - 2010
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/7968
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30-79299
VL  - 13
SP  - 851
EP  - 862
ER  -