Package org.encog.neural.networks.training.propagation

Examples of org.encog.neural.networks.training.propagation.Propagation.iteration()


      train.addStrategy(strat);
      train.setNumThreads(1); // force single thread mode

      for (int i = 0; (i < this.iterations) && !getShouldStop()
          && !strat.shouldStop(); i++) {
        train.iteration();
      }

      error = Math.min(error, train.getError());
    }
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      //Propagation train = new ResilientPropagation((ContainsFlat)method, trainingData);
      ((Propagation)train).fixFlatSpot(true);
     
      int iteration = 0;
      do {
        train.iteration();
       
        iteration++;
      } while( train.getError()>0.01 );
      count[i] = iteration;
      System.out.println("Begin Try #" + (i+1) + ", took " + iteration + " iterations.");     
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      train.addStrategy(strat);
      train.setThreadCount(1); // force single thread mode

      for (int i = 0; (i < this.iterations) && !getShouldStop()
          && !strat.shouldStop(); i++) {
        train.iteration();
      }

      error = Math.min(error, train.getError());
    }
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