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...
DCE-MRI is a noninvasive functional imaging technique capable of assessing tumor microvasculature clinically. Major limitations associated with conventional region-of-interest (RO...
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...
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 ...
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...