Author/Editor		Todorovski, Ljupčo; Džeroski, Sašo; Kompare, Boris
Title		Modelling and prediction of phytoplankton growth with equation discovery
Type		članek
Source		Ecol Model
Vol. and No.		Letnik 113
Publication year		1998
Volume		str. 71-81
Language		eng
Abstract		In contrast with traditional modelling methods, wich are used to identify parameter values of a model with known structure, equation discovery systems identify the structure of the model also. The model generated with such systems can give experts a better insight into the measured data and can be also for predicting future values of the measured cariables. This paper presents LAGRAMGE, an equation discovery system that allows the user to define the space of possible model structures and to make use of domain specific expert knowledge in the form of function definitions. We use LAGRAMGE to automate the modelling of phytoplankton growth in lake Glumsoe, Denmark. The structure of the model constructed with LAGRAMGE agress with human experts' expectations. The model can be successfully used for long term prediction of phytoplankton concentration during algal blooms.
Descriptors		ARTIFICIAL INTELLIGENCE FRESH WATER EUTROPHICATION ECOSYSTEM DENMARK COMPUTER SYSTEMS