Package org.encog.workbench.dialogs.common

Examples of org.encog.workbench.dialogs.common.IntegerField


  public CreateHopfieldDialog(Frame owner) {
    super(owner);
    setTitle("Create Hopfield Network");
    setSize(400,400);
    setLocation(200,200);
    addProperty(this.neuronCount = new IntegerField("neurons","Neuron Count",true,1,100000));
    render();
  }
View Full Code Here


        "Training Set", true, this.trainingSets));
    addProperty(this.hidden = new BuildingListField("hidden neurons",
        "Hidden Layer Counts"));
    addProperty(this.activationField = new PopupField("activation",
        "Activation Function", true));
    addProperty(this.iterations = new IntegerField("iterations",
        "Training Iterations", true, 1, 100000));
    addProperty(this.weightTries = new IntegerField("weight tries",
        "Weights to Try", true, 1, 100000));
    addProperty(this.windowSize = new IntegerField("window size",
        "Number of Top Networks", true, 1, 100000));
    render();
  }
View Full Code Here

    rbfTypes.add(MexicanHatFunction.class.getSimpleName());
       
    setTitle("Create RBF Network");
    setSize(400,400);
    setLocation(200,200);
    addProperty(this.inputCount = new IntegerField("input neurons","Input Neuron Count",true,1,100000));
    addProperty(this.hiddenCount = new IntegerField("input neurons","Hidden Neuron Count",true,1,100000));
    addProperty(this.outputCount = new IntegerField("input neurons","Output Neuron Count",true,1,100000));
    addProperty(this.rbfTypeCombo = new ComboBoxField("rbf type","RBF Type",true,rbfTypes));
    render();
  }
View Full Code Here

   */
  public InputGenetic() {
    super(false);
    setTitle("Train Simulated Annealing");
   
    addProperty(this.populationSize = new IntegerField("population size","Learning Rate",true,1,-1));
    addProperty(this.mutationPercent = new DoubleField("mutation percent","Mutation Percent",true,0,1));
    addProperty(this.percentToMate = new DoubleField("percent to mate","Percent to Mate",true,0,1));
    render();
    this.populationSize.setValue(5000);
    this.mutationPercent.setValue(0.1);
View Full Code Here

  public CreateFeedforward(Frame owner) {
    super(owner);
    setTitle("Create Feedforward Network");
    setSize(600, 400);
    setLocation(200, 200);
    addProperty(this.inputCount = new IntegerField("input neurons",
        "Input Neuron Count", true, 1, 100000));
    addProperty(this.hidden = new BuildingListField("hidden neurons",
        "Hidden Layer Counts"));
    addProperty(this.outputCount = new IntegerField("output neurons",
        "Output Neuron Count", true, 1, 100000));
    addProperty(this.activationFieldHidden = new PopupField("activation hidden",
        "Activation Function Hidden", true));
    addProperty(this.activationFieldOutput = new PopupField("activation output",
        "Activation Function Output", true));
View Full Code Here

  public CreateSOMDialog(Frame owner) {
    super(owner);
    setTitle("Create SOM Network");
    setSize(400,400);
    setLocation(200,200);
    addProperty(this.inputCount = new IntegerField("input neurons","Input Neuron Count",true,1,100000));
    addProperty(this.outputCount = new IntegerField("input neurons","Output Neuron Count",true,1,100000));
    render();
  }
View Full Code Here

    super(false);
    setTitle("Train Simulated Annealing");

    addProperty(this.startTemp = new DoubleField("starting temperature","Starting Temperature",true,-1,-1));
    addProperty(this.endTemp = new DoubleField("ending temperature","Ending Temperature",true,-1,-1));
    addProperty(this.cycles = new IntegerField("cycles","Ending Temperature",true,0,-1));
    render();
   
    this.startTemp.setValue(1);
    this.endTemp.setValue(20);
    this.cycles.setValue(10);
View Full Code Here

    addProperty(this.endingGamma = new DoubleField("gamma end","Gamma End",true,-1,-1));
    addProperty(this.stepGamma = new DoubleField("gamma step","Gamma Step",true,-1,-1));
    addProperty(this.beginningC = new DoubleField("c begin","C Begin",true,-1,-1));
    addProperty(this.endingC = new DoubleField("c end","C End",true,-1,-1));
    addProperty(this.stepC = new DoubleField("c step","C Step",true,-1,-1));
    addProperty(this.threadCount = new IntegerField("thread count","Threads",true,1,20));
    render()
    this.threadCount.setValue(1);
  }
View Full Code Here

   
    setTitle("Train SOM Network");
    addProperty(this.learningRate = new DoubleField("learning rate","Learning Rate",true,0,-1));
    addProperty(this.neighborhoodType = new ComboBoxField("neighborhood","Neighborhood Type",true,list));
    addProperty(this.rbfWidth = new DoubleField("rbf width","RBF Width",true,0,1000));
    addProperty(this.cols = new IntegerField("cols", "2D RBF Columns",true,0,1000000));
    addProperty(this.rows = new IntegerField("rows", "2D RBF Rows",true,0,1000000));
    addProperty(this.forceWinner = new CheckField("force winner","Force Winner"));
    render();
    this.learningRate.setValue(0.25);
    this.getRBFWidth().setValue(2);
    this.getCols().setValue(1);
View Full Code Here

    setLocation(200,200);
   
    addProperty(this.maxError = new DoubleField("max error",
        "Maximum Error Percent(0-100)", true, 0, 100));
    if( allowKFold ) {
      addProperty(this.kfold = new IntegerField("kfold","Cross Validation KFold (0=none)",true,0,50));
    } else {
      kfold = null;
    }
  }
View Full Code Here

TOP

Related Classes of org.encog.workbench.dialogs.common.IntegerField

Copyright © 2018 www.massapicom. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.