Application
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Returns application object. Return value: Object. This property is read only.
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ExpHiddenActivationFunction
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Select this option to include the exponential activation function for the hidden units. MLP networks only. Return/assignment value: Integer.
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ExpOutputActivationFunction
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Select this option to include the exponential activation function for the output units. MLP networks only. Return/assignment value: Integer.
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IdentityHiddenActivationFunction
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Select this option to include the identity activation function for the hidden units. MLP networks only. Return/assignment value: Integer.
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IdentityOutputActivationFunction
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Select this option to include the identity activation function for the output units (recommended for MLP networks). This is the only available option for RBF with sum of squares error function. Return/assignment value: Integer.
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IterationDialogVisible
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Select this option to make the iteration dialog visible in automation mode. This function is not associated with any dialog options. Assignment value: Integer.
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MaximumHiddenWeightDecay
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Specifies the maximum value of the input-hidden weight decay. MLP networks only. Return/assignment value: Double.
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MaximumNumberOfHiddenUnits
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Specifies the maximum complexity of the Multilayer Perceptron (MLP) neural networks to be trained. Return/assignment value: Integer.
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MaximumNumberOfHiddenUnitsRBF
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Specifies the maximum complexity of the Radial Basis Function (RBF) neural networks to be trained. Return/assignment value: Integer.
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MaximumOutputWeightDecay
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Specifies the maximum value of the hidden-output weight decay. Return/assignment value: Double.
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MinimumHiddenWeightDecay
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Specifies the minimum value of the input-hidden weight decay. MLP networks only. Return/assignment value: Double.
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MinimumNumberOfHiddenUnits
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Specifies the minimum complexity of the Multilayer Perceptron neural networks to be trained. You can specify the number of hidden units exactly by setting the minimum equal to the maximum (see MaximumNumberOfHiddenUnits). Return/assignment value: Integer.
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MinimumNumberOfHiddenUnitsRBF
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Specifies the minimum complexity of the Multilayer Perceptron neural networks to be trained. You can specify the number of hidden units exactly by setting the minimum equal to the maximum (see MaximumNumberOfHiddenUnitsRBF). Return/assignment value: Integer.
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MinimumOutputWeightDecay
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Specifies the minimum value of the hidden-output weight decay. Return/assignment value: Double.
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ModelListView
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Specifies the list of active models. Return/assignment value: String.
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Name
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Return value: String. This property is read only.
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NumberOfNetworksToRetain
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Specify how many of the networks trained by the Automated Network Search (ANS) should be retained. Return/assignment value: Integer.
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NumberOfNetworksToTrain
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Specifies the number of networks to be trained by the Automated Network Search (ANS). Return/assignment value: Integer.
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NumberOfTrainingCyclesANS
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Use this option to specify the number of training iterations. Assignment value: Integer.
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Parent
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Returns the parent of the object. Return value: Object. This property is read only.
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PrintDataStat
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Use this option to generate a statistics spreadsheet for the analysis variables. Return value: Object. This property is read only.
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ResultsCodes
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Assignment value: Variant.
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ResultsOption
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Assignment value: Integer.
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ResultsOutputFields
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Assignment value: Variant.
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ResultsSaveFileName
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Assignment value: String.
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ResultsSelection
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Assignment value: Variant.
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ResultsSelectionOption
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Assignment value: Variant.
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ResultsValues
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Assignment value: Variant.
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ResultsVariables
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Assignment value: Variant.
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SeedValueForNetworkInitialization
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Use this option to specify the value of the seed for the random number generator used to initialize the network weights. Return/assignment value: Integer.
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SigmoidHiddenActivationFunction
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Select this option to include the sigmoid activation function for the hidden units. MLP networks only. Return/assignment value: Integer.
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SigmoidOutputActivationFunction
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Select this option to include the sigmoid activation function for the output units. MLP networks only. Return/assignment value: Integer.
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SineHiddenActivationFunction
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Select this option to include the sine activation function for the hidden units. MLP networks only. Return/assignment value: Integer.
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SineOutputActivationFunction
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Select this option to include the sine activation function for the output units. MLP networks only. Return/assignment value: Integer.
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SummaryOfNetworks
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Print summary spreadsheet of active networks. Return value: Object. This property is read only.
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TanhHiddenActivationFunction
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Select this option to include the tangent hyperbolic activation function for the hidden units (recommended). MLP networks only. Return/assignment value: Integer.
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TanhOutputActivationFunction
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Select this option to include the tangent hyperbolic activation function for the output units. MLP networks only. Return/assignment value: Integer.
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UseEntropyError
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Specify whether the Automated Network Search (ANS) should use cross entropy error function for training neural networks (classification problems only). Return/assignment value: Integer.
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UseFixedSeedForNetworkInitialization
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Select this option to use a specified seed value for the random number generator used to initialize the network weights. Return/assignment value: Integer.
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UseHiddenWeightDecay
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Select this option to use weight decay for the input-hidden weights. MLP networks only. Return/assignment value: Integer.
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UseMLPNetwork
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Specify whether the Automated Network Search (ANS) should create Multilayer Perceptron (MLP) networks. Return/assignment value: Integer.
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UseOutputWeightDecay
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Select this option to use weight decay for the hidden-output weights. Return/assignment value: Integer.
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UseRBFNetwork
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Specify whether the Automated Network Search (ANS) should create Radial Basis Functions (RBF) networks. Return/assignment value: Integer.
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UseSOSError
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Specify whether the Automated Network Search (ANS) should use sum of squares error function for training neural networks. Return/assignment value: Integer.
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