New Methods For The Identification Of Nonlinear Model Structures Based Upon Genetic Programming Techniques I (2004)
| Venue: | Proceedings of the 15th International Conference on Systems Science |
| Citations: | 14 - 9 self |
BibTeX
@INPROCEEDINGS{Winkler04newmethods,
author = {Stephan Winkler and Michael Affenzeller and Stefan Wagner},
title = {New Methods For The Identification Of Nonlinear Model Structures Based Upon Genetic Programming Techniques I},
booktitle = {Proceedings of the 15th International Conference on Systems Science},
year = {2004},
pages = {386--393}
}
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Abstract
this paper we describe a method using genetic programming to evolve an algebraic representation of measured input-output response data. The main advantage of the presented approach is that unlike many other identification methods, it does not restrict the set of models that can be identified but can be applied to any kind of data sets representing a system's observed or simulated input and output signals
