[Bugzilla] [Bug 5380] Samuel GOUGEON has changed bug_file_loc, assigned_to

[bugzilla.admin at scilab.org]

http://bugzilla.scilab.org/show_bug.cgi?id=5380
--------- Bug Summary -----------
atomsShow() output is broken (separators are not aligned) if one of the field na

---------- Changed by ------------
sgougeon at free.fr

---------- What changed ----------
bug_file_loc, assigned_to


Samuel GOUGEON <sgougeon at free.fr> changed:

           What    |Removed                     |Added
----------------------------------------------------------------------------
                URL|Package : lolimot
          |
                   |         Titre : Lolimot
   |
                   |      Résumé : A fast       |
                   |neural network - LOcal      |
                   |LInear MOdel Tree
          |
                   |       Version : 2.0
       |
                   |       Dépend : 
           |
                   | Catégorie(s) : Modeling    |
                   |and Control Tools
          |
                   |     Auteur(s) : Yann       |
                   |COLLETTE
                   |
                   | Mainteneur(s) : Yann       |
                   |Collette                    |
                   |<ycollet at freesurf.fr>
      |
                   |       Entité : Home
       |
                   |      Site web :            |
                   |http://code.google.com/p/sc |
                   |ilab-mip
                   |
                   |       Licence : CeCILL
    |
                   |Version Scilab : any
       |
                   |        Statut : Not        |
                   |installed
                  |
                   |   Description : The        |
                   |Lolimot model (LOcal LInear |
                   |MOdel Tree) is a model from |
                   |the neural network
         |
                   |                 familly.   |
                   |It is able to learn every   |
                   |kind of non-linear          |
                   |relationship.
              |
                   |                 Compared   |
                   |to a classical neural       |
                   |network, the learning phase |
                   |of a LOLIMOT model
         |
                   |                 is quite   |
                   |fast and deterministic.
    |
                   |                 Once a     |
                   |model is learnt, you have   |
                   |an easy access to           |
                   |analytical derivatives of
  |
                   |                 your model |
                   |through a call to the       |
                   |function estim_der_lolimot. |
                   |                            |
                   |                 
          |
                   |                 New in     |
                   |2.0:
                       |
                   |                 The        |
                   |toolbox has been converted  |
                   |to work with scilab 5.x     |
           Assignee|allan.cornet at scilab.org     |sgougeon at free.fr

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