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SIAMCO
2000
89views more  SIAMCO 2000»
13 years 7 months ago
Persistence of Excitation Properties for Time-Varying Autoregressive Systems
It is well known that a crucial property for the effective identification of time-varying systems is that the data carry continual information on the parameters to be estimated. As...
Sergio Bittanti, Marco C. Campi
ISBI
2004
IEEE
14 years 8 months ago
Simultaneous Estimation of Kinetic Parameters and the Input Function from DCE-MRI Data: Theory and Simulation
DCE-MRI is a noninvasive functional imaging technique capable of assessing tumor microvasculature clinically. Major limitations associated with conventional region-of-interest (RO...
Zhu Han, Z. Jane Wang, K. J. Ray Liu, Yue Wang
EVOW
2008
Springer
13 years 9 months ago
Enhancing Parameter Estimation of Biochemical Networks by Exponentially Scaled Search Steps
A fundamental problem of modelling in Systems Biology is to precisely characterise quantitative parameters, which are hard to measure experimentally. For this reason, it is common ...
Hendrik Rohn, Bashar Ibrahim, Thorsten Lenser, Tho...
CDC
2009
IEEE
123views Control Systems» more  CDC 2009»
13 years 11 months ago
A greedy algorithm for the identification of quantum systems
The control of quantum phenomena is a topic that has carried out many challenging problems. Among others, the Hamiltonian identification, i.e, the inverse problem associated with ...
Yvon Maday, Julien Salomon
TFS
2008
157views more  TFS 2008»
13 years 7 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin