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ECSQARU
2005
Springer
13 years 11 months ago
Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues
The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...
Raffaella Guglielmann, Liliana Ironi
COSIT
1997
Springer
115views GIS» more  COSIT 1997»
13 years 9 months ago
Qualitative Representation of Change
Current geographic information systems (GISs) have been designed for querying and maintaining static databases representing static phenomena and give little support to those users ...
Kathleen Hornsby, Max J. Egenhofer
ENVSOFT
2006
104views more  ENVSOFT 2006»
13 years 5 months ago
Landscape analysis and simulation shell (Lass)
We present a set of models for simulating vegetation dynamics in disturbance-prone ecosystems with different complexity levels, integrated in a modelling environment for generatin...
Juli G. Pausas, Juan I. Ramos
MATES
2005
Springer
13 years 11 months ago
LEADSTO: A Language and Environment for Analysis of Dynamics by SimulaTiOn
This paper presents the language and software environment LEADSTO that has been developed to model and simulate the dynamics of Multi-Agent Systems (MAS) in terms of both qualitati...
Tibor Bosse, Catholijn M. Jonker, Lourens van der ...
IJCNN
2006
IEEE
13 years 11 months ago
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...