An hybrid methodology for the modeling and the simulation of natural systems

Authors:
Frederic Chiari;Marielle Delhom;Jean-François Santucci
Affiliations:
Université de Corse - Systèmes Dynamiques, Energétiques et Mécaniques URA CNRS 2053, BP 52-Quartier Grossetti, 20250 Corte-France;Université de Corse - Systèmes Dynamiques, Energétiques et Mécaniques URA CNRS 2053, BP 52-Quartier Grossetti, 20250 Corte-France;Université de Corse - Systèmes Dynamiques, Energétiques et Mécaniques URA CNRS 2053, BP 52-Quartier Grossetti, 20250 Corte-France
Venue:
Systems Analysis Modelling Simulation - Special issue: Environmental modeling and simulation
Year:
2002

Citing 4
Cited 0

Multifacetted modelling and discrete event simulation

Multifacetted modelling and discrete event simulation
Object-oriented simulation with hierarchical, modular models: intelligent agents and endomorphic systems

Object-oriented simulation with hierarchical, modular models: intelligent agents and endomorphic systems
The cascade-correlation learning architecture

Advances in neural information processing systems 2
Object-Oriented Software Construction

Object-Oriented Software Construction

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we first present concepts we developed in order to define an hybrid modeling and simulation methodology dedicated to the study of natural systems.These concepts are based on the object-oriented design, artificial neural networks and the geographic information systems. Then, we outline a general framework combining these three concepts.A first application allowing the forecasting of the hydrologic behavior of watersheds is described and some results are presented and commented.