NETWORKS OF NEURONS. SELECTING TOPOLOGY AND APPLICATIONS FOR THE DIAGNOSIS OF A DC MACHINE

Networks of neurons. Selecting topology and applications for the diagnosis of a DC machine

Networks of neurons. Selecting topology and applications for the diagnosis of a DC machine

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Obtaining Bell boots 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 ARCTIC COD LIVER OIL 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.

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