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GECCO
2005
Springer
180views Optimization» more  GECCO 2005»
14 years 2 months ago
Inference of gene regulatory networks using s-system and differential evolution
In this work we present an improved evolutionary method for inferring S-system model of genetic networks from the time series data of gene expression. We employed Differential Ev...
Nasimul Noman, Hitoshi Iba
ICCS
2005
Springer
14 years 2 months ago
A Computational Model of Micro-vascular Growth
In order to supply a growing tissue with oxygen and nutrients and to remove its metabolic wastes, blood vessels penetrating the tissue are formed. Multiple mechanisms are involved ...
Dominik Szczerba, Gábor Székely
IJON
1998
107views more  IJON 1998»
13 years 8 months ago
Training wavelet networks for nonlinear dynamic input-output modeling
In the framework of nonlinear process modeling, we propose training algorithms for feedback wavelet networks used as nonlinear dynamic models. An original initialization procedure...
Yacine Oussar, Isabelle Rivals, Léon Person...
CIBB
2009
13 years 9 months ago
On the Use of Temporal Formal Logic to Model Gene Regulatory Networks
Modelling activities in molecular biology face the difficulty of prediction to link molecular knowledge with cell phenotypes. Even when the interaction graph between molecules is k...
Gilles Bernot, Jean-Paul Comet
HICSS
2006
IEEE
97views Biometrics» more  HICSS 2006»
14 years 2 months ago
Dynamically Optimizing Parameters in Support Vector Regression: An Application of Electricity Load Forecasting
This study develops a novel model, GA-SVR, for parameters optimization in support vector regression and implements this new model in a problem forecasting maximum electrical daily...
Chin-Chia Hsu, Chih-Hung Wu, Shih-Chien Chen, Kang...