Package tv.floe.metronome.classification.neuralnetworks.networks

Examples of tv.floe.metronome.classification.neuralnetworks.networks.MultiLayerPerceptronNetwork.calculate()

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      total_records++;
     
     
      mlp_network.setInputVector( v0 );
      mlp_network.calculate();
            Vector networkOutput = mlp_network.getOutputVector();

            System.out.println( "> out: 0 =? " + networkOutput.get(0) );
               
           
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            System.out.println( "> out: 0 =? " + networkOutput.get(0) );
               
           
           
      mlp_network.setInputVector( v1 );
      mlp_network.calculate();
            Vector networkOutput_1 = mlp_network.getOutputVector();

            System.out.println( "> out: 1 =? " + networkOutput_1.get(0) );
                   
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            System.out.println( "> out: 1 =? " + networkOutput_1.get(0) );
                   

      mlp_network.setInputVector( v2 );
      mlp_network.calculate();
            Vector networkOutput_2 = mlp_network.getOutputVector();

            System.out.println( "> out: 1 =? " + networkOutput_2.get(0) );

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            System.out.println( "> out: 1 =? " + networkOutput_2.get(0) );


      mlp_network.setInputVector( v3 );
      mlp_network.calculate();
            Vector networkOutput_3 = mlp_network.getOutputVector();

            System.out.println( "> out: 0 =? " + networkOutput_3.get(0) );
           
           
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