dc.contributor.author |
Zak, M. |
en_US |
dc.date.accessioned |
2004-09-23T21:41:09Z |
|
dc.date.available |
2004-09-23T21:41:09Z |
|
dc.date.issued |
2001-10-18 |
en_US |
dc.identifier.citation |
Simulation in Industry 2001, 13th European Simulation Symposium, ESS 2001 |
en_US |
dc.identifier.citation |
Ghent, Belgium |
en_US |
dc.identifier.clearanceno |
00-2035 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/2014/16124 |
|
dc.description.abstract |
Coupled evolution of state and topology of dynamical networks is introduced. Due to the well organized tensor structure, the governing equations are presented in a canonical form, and required attractors as well as their basins can be easily implanted and controlled. |
en_US |
dc.format.extent |
312814 bytes |
|
dc.format.mimetype |
application/pdf |
|
dc.language.iso |
en_US |
|
dc.subject.other |
neural net architecture self organizing feature maps tensors topology |
en_US |
dc.title |
Dynamical networks with topological self-organization |
en_US |