- author = "Saso Dzeroski and Ljupco Todorovski and Igor Petrovski",
- title = "Dynamical System Identification with Machine Learning",
- booktitle = "Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications",
- year = "1995",
- editor = "Justinian P. Rosca",
- pages = "50--63",
- address = "Tahoe City, California, USA",
- month = "9 " # jul,
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://www-ai.ijs.si/SasoDzeroski/oldPage/publications.htm#Pub1995",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/dzeroski_1995_dsiml.pdf",
- size = "14 pages",
-
abstract = "The classical approach to dynamical systems
identification is to assume a fixed model (set of
differential equations) with unknown parameters. Given
measurements ...
LAGRANGE algorithm described, brusselator, volterra-lotka model of population dynamics, monod equations, pole balancing, system identification",
-
notes = "part of \cite{rosca:1995:ml}
Nov 2023 2nd author name corrected",
