Package org.encog.workbench.dialogs.common

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

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    this.setCollectCurrentTabOnly(true);
       
    this.beginTab("Randomize");
    addProperty(this.high = new DoubleField("high","High Range",true,0,-1));
    addProperty(this.low = new DoubleField("low","Low Range",true,0,-1));
    addProperty(this.type = new ComboBoxField("type","Type",true,types));
    this.beginTab("Perturb");
    addProperty(this.perturbPercent = new DoubleField("perturb percent","Perturb Percent",true,0,-1));
    this.beginTab("Gaussian");
    addProperty(this.mean = new DoubleField("mean","Mean",true,0,-1));
    addProperty(this.deviation = new DoubleField("standard deviation","Standard Deviation",true,0,-1));
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    this.setSize(640, 200);
    this.setTitle("Export Image");
   
    addProperty(this.targetFile = new FileField("target file","Target File",true,true,null));
    addProperty(this.fileType = new ComboBoxField("type type", "Export File Type",true,list));
    addProperty(this.height = new IntegerField("height","Image Height (pixels)",true,32,Integer.MAX_VALUE));
    addProperty(this.width = new IntegerField("width","Image Width (pixels)",true,32,Integer.MAX_VALUE));
    render();
  }
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    super(owner);
    findData();
    setTitle("Network and Training Set");
    setSize(400,400);
    setLocation(200,200);
    addProperty(this.comboTraining = new ComboBoxField("training set","Training Set",true,this.trainingSets));
    addProperty(this.comboNetwork = new ComboBoxField("network","Neural Network",true,this.networks));
  }
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    setTitle("Create GRNN/PNN 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));
    addProperty(this.kernelType = new ComboBoxField("kernel type","Kernel Type",true,kernelTypeList));
    addProperty(this.outputModel = new ComboBoxField("output model","Output Model",true,outputModelList));
   
    render();
  }
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    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();
  }
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Related Classes of org.encog.workbench.dialogs.common.ComboBoxField

  • org.encog.workbench.dialogs.binary.DialogBinary2External
  • org.encog.workbench.dialogs.binary.DialogExternal2Binary
  • org.encog.workbench.dialogs.config.EncogConfigDialog
  • org.encog.workbench.dialogs.createnetwork.CreateAutomatic
  • org.encog.workbench.dialogs.createnetwork.CreatePNN
  • org.encog.workbench.dialogs.createnetwork.CreateRBFDialog
  • org.encog.workbench.dialogs.createnetwork.CreateSVMDialog
  • org.encog.workbench.dialogs.RandomizeNetworkDialog
  • org.encog.workbench.dialogs.SaveImageDialog
  • org.encog.workbench.dialogs.training.methods.InputNEAT
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