Qualitative System Identification from Imperfect Data

Experience in the physical sciences suggests that the only realistic means of understanding complex systems is through the use of mathematical models. Typically, this has come to mean the identification of quantitative models expressed as differential equations. Quantitative modelling works best whe...

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Vydané v:	The Journal of artificial intelligence research Ročník 32; s. 825 - 877
Hlavní autori:	Coghill, G. M., Srinivasan, A., King, R. D.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	San Francisco AI Access Foundation 01.01.2008
Predmet:	Artificial intelligence Biological models (mathematics) Complex systems Differential equations Glycolysis Identification Logic programming Parameter estimation Parameter identification Physical sciences Qualitative analysis System identification
ISSN:	1076-9757, 1076-9757, 1943-5037
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