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AIIA
2007
Springer
15 years 4 months ago
Evolving Complex Neural Networks
Abstract. Complex networks like the scale-free model proposed by BarabasiAlbert are observed in many biological systems and the application of this topology to artificial neural ne...
Mauro Annunziato, Ilaria Bertini, Matteo De Felice...
BMCBI
2008
242views more  BMCBI 2008»
14 years 10 months ago
New time-scale criteria for model simplification of bio-reaction systems
Background: Quasi-steady state approximation (QSSA) based on time-scale analysis is known to be an effective method for simplifying metabolic reaction system, but the conventional...
Junwon Choi, Kyung-won Yang, Tai-yong Lee, Sang Yu...
BMCBI
2006
175views more  BMCBI 2006»
14 years 9 months ago
Parameter estimation for stiff equations of biosystems using radial basis function networks
Background: The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for par...
Yoshiya Matsubara, Shinichi Kikuchi, Masahiro Sugi...
CDC
2008
IEEE
152views Control Systems» more  CDC 2008»
15 years 4 months ago
Non-uniform small-gain theorems for systems with unstable invariant sets
— We consider the problem of small-gain analysis of asymptotic behavior in interconnected nonlinear dynamic systems. Mathematical models of these systems are allowed to be uncert...
Ivan Tyukin, Erik Steur, Henk Nijmeijer, Cees van ...
BMCBI
2006
101views more  BMCBI 2006»
14 years 9 months ago
Hierarchical modularity of nested bow-ties in metabolic networks
Background: The exploration of the structural topology and the organizing principles of genomebased large-scale metabolic networks is essential for studying possible relations bet...
Jing Zhao, Hong Yu, Jianhua Luo, Zhi-Wei Cao, Yi-X...