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» The Four Phase Method for Modelling Complex Systems
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ISNN
2007
Springer
15 years 4 months ago
Recurrent Fuzzy CMAC for Nonlinear System Modeling
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
BMCBI
2005
156views more  BMCBI 2005»
14 years 10 months ago
A new dynamical layout algorithm for complex biochemical reaction networks
Background: To study complex biochemical reaction networks in living cells researchers more and more rely on databases and computational methods. In order to facilitate computatio...
Katja Wegner, Ursula Kummer
CEC
2003
IEEE
15 years 1 months ago
Dynamics of gene expression in an artificial genome
Abstract- Complex systems techniques provide a powerful tool to study the emergent properties of networks of interacting genes. In this study we extract models of genetic regulator...
Kai Willadsen, Janet Wiles
IRI
2006
IEEE
15 years 4 months ago
Environment as support for simplification, reuse and integration of processes in spatial MAS
The development of solutions to complex problems requires finding answers to several questions which are obstacles on the road leading to the solution. To perpetuate progress, the...
Denis Payet, Rémy Courdier, Nicolas S&eacut...
CA
2002
IEEE
15 years 3 months ago
Polyhedral Object Detection and Pose Estimation for Augmented Reality Applications
In augmented reality applications, tracking and registration of both cameras and objects is required because, to combine real and rendered scenes, we must project synthetic models...
Ali Shahrokni, Luca Vacchetti, Vincent Lepetit, Pa...