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BMCBI
2006
194views more  BMCBI 2006»
13 years 7 months ago
Novel metaheuristic for parameter estimation in nonlinear dynamic biological systems
Background: We consider the problem of parameter estimation (model calibration) in nonlinear dynamic models of biological systems. Due to the frequent ill-conditioning and multi-m...
Maria Rodriguez-Fernandez, Jose A. Egea, Julio R. ...
CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
14 years 6 days ago
Synthesis of a global asymptotic stabilizing feedback law for a system satisfying two different sector conditions
— Global asymptotic stabilization for a class of nonlinear systems is addressed. The dynamics of these systems are composed of a linear part to which is added some nonlinearities...
Vincent Andrieu, Christophe Prieur, Sophie Tarbour...
IJCNN
2006
IEEE
14 years 1 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...
WWIC
2005
Springer
197views Communications» more  WWIC 2005»
14 years 29 days ago
Reducing Memory Fragmentation with Performance-Optimized Dynamic Memory Allocators in Network Applications
The needs for run-time data storage in modern wired and wireless network applications are increasing. Additionally, the nature of these applications is very dynamic, resulting in ...
Stylianos Mamagkakis, Christos Baloukas, David Ati...
ICTAI
2005
IEEE
14 years 1 months ago
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Chunshien Li, Kuo-Hsiang Cheng, Jiann-Der Lee