%0 Journal Article
%T Networks of neurons. Selecting topology and applications for the diagnosis of a DC machine
%A Teodor Maghiar
%A Doble Liliana
%A Mircea Pantea
%J Journal of Electrical and Electronics Engineering
%D 2009
%I Editura Universit??ii din Oradea
%X Obtaining a model is a key step for thedecision. All Models residue behaviour in responseto flaws that I have used so far have been establishedthrough a cognitive approach: thus, the useddecision tables resulting either from a knowledgeexpert, (taking into account the signs, deduction ofsequences in simulation), or the study generatorresidue (sensitivity study, qualitative deductionsequences from a transfer). If the use of expertknowledge can be extremely useful, it is not alwaysavailable or effective, and systematic study ofproperties of a generator of waste is often based onrestrictive assumptions. The model of a (dynamic)system may certainly result from a priori knowledge(knowledge model) and of a procedure foridentifying and learning (model behaviour). Ourobjective is thus to build, through learning, adynamic model for the decision.
%K Networks of neurons
%K generator residue
%K model dynamic
%K generator
%K diagnosis
%K machine
%U http://electroinf.uoradea.ro/reviste%20CSCS/documente/JEEE_2009/Articole_pdf_JEEE_EE_nr_2/JEEE_2009_Nr_2_EE_Maghiar_Selecting.pdf