Examples of NeuralData

com.wiieditor.neuralnetwork.NeuralData
@author zohaibrauf
org.encog.neural.data.NeuralData
This is an alias class for Encog 2.5 compatibility. This class aliases MLData. Newer code should use MLData in place of this class.

Examples of com.wiieditor.neuralnetwork.NeuralData

        
        return grid[row][column];
    }
    public NeuralData getConvertedNeuralData(){
        
        NeuralData nd=new NeuralData(width*height,0);
        for(int i=0;i<height;i++){
            for(int j=0;j<width;j++){
                nd.setInputVectorAtIndex(i*j, ((grid[i][j])?TRUE_VAL:FALSE_VAL) );
            }
        }
        return nd;
    }

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Examples of com.wiieditor.neuralnetwork.NeuralData

    }
    
    public void learn(char c){
        downSample();
        double [] output=DataInterpolator.convertCharToNeuronDoubleArr(c);
        NeuralData neuralData=gridPanel.getData().getConvertedNeuralData();
        neuralData.setOutputVector(output);
        
        NeuralNetwork n=NeuralNetwork.createNeuralNetwork();
        n.learn(neuralData);
        n.save();

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Examples of com.wiieditor.neuralnetwork.NeuralData

        
    }
    
    public char recognize(){
        downSample();
        NeuralData neuralData=gridPanel.getData().getConvertedNeuralData();
        NeuralNetwork n=NeuralNetwork.createNeuralNetwork();
        neuralData=n.calculateAndGetNormalizedOuput(neuralData);
        
        char c=DataInterpolator.convertNeuronDoubleArrToChar(neuralData.getOutputVector());
        log.info("Entry: NeuralNetwork recognized "+c);
        return c;
    }

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Examples of org.encog.neural.data.NeuralData

    }


    private void testNeuralNetwork() {
        System.out.print("Neural network results:\n");
        for (NeuralDataPair pair : trainingData) {
            final NeuralData output = network.compute(pair.getInput());
            System.out.println(pair.getInput().getData(0) + ", "
                    + pair.getInput().getData(1) + ", "
                    + pair.getInput().getData(2) + ", "
                    + pair.getInput().getData(3) + ", "
                    + ", actual = " + output.getData(0) + ", "
                    + output.getData(1) + ", "
                    + output.getData(2) + ", "
                    + output.getData(3) + ", "
                    + output.getData(4) + ", "
                    + output.getData(5) + ", " + "\n");
        }
    }

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Examples of org.encog.neural.data.NeuralData

        }
    }


    public double [] query(double [] data) {
        BasicNeuralData neuralData = new BasicNeuralData(data);
        final NeuralData output = network.compute(neuralData);
        return output.getData();
    }

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Examples of org.encog.neural.data.NeuralData

  {
    Object obj = ScriptableObject.getProperty(this.getParentScope(),"console");
    JSEncogConsole console = (JSEncogConsole)Context.jsToJava(obj, JSEncogConsole.class);
    
    for (final NeuralDataPair pair : data.getData()) {
      final NeuralData output = network.compute(pair.getInput());
      console.println("Input="
          + EncogUtility.formatNeuralData(pair.getInput())
          + ", Actual=" + EncogUtility.formatNeuralData(output)
          + ", Ideal="
          + EncogUtility.formatNeuralData(pair.getIdeal()));

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