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nssTrainingOptions

Create training options object for neural state-space systems

Since R2022b

    Description

    Returns either an Adam or SGDM options set object to train a idNeuralStateSpace network using nlssest.

    example

    adamOpts = nssTrainingOptions("adam") returns a default optimizer option set to train an idNeuralStateSpace object using the Adam solver. Use dot notation to access the object properties.

    example

    sgdmOpts = nssTrainingOptions("sgdm") returns a default optimizer option set to train an idNeuralStateSpace object using the stochastic gradient descent with momentum solver. Use dot notation to access the object properties.

    Examples

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    Use nssTrainingOptions to return an options set object to train an idNeuralStateSpace system.

    adamOpts = nssTrainingOptions("adam")
    adamOpts = 
      nssTrainingADAM with properties:
    
                      UpdateMethod: "ADAM"
               GradientDecayFactor: 0.9000
        SquaredGradientDecayFactor: 0.9990
                           LossFcn: "MeanAbsoluteError"
                       PlotLossFcn: 1
                         LearnRate: 1.0000e-03
                         MaxEpochs: 100
                     MiniBatchSize: 100
                  ODESolverOptions: [1x1 idoptions.nssDLODE45]
                  InputInterSample: 'spline'
    
    

    Use dot notation to access the object properties.

    adamOpts.PlotLossFcn = false;

    You can now use adamOpts as the value of a name-value pair input argument to nlssest to specify the training options for the state (StateOptions=adamOpts) or the output (OutputOptions=adamOpts) network of an idNeuralStateSpace object.

    Use nssTrainingOptions to return an options set object to train an idNeuralStateSpace system.

    adamOpts = nssTrainingOptions("sgdm")
    adamOpts = 
      nssTrainingSGDM with properties:
    
            UpdateMethod: "SGDM"
                Momentum: 0.9500
                 LossFcn: "MeanAbsoluteError"
             PlotLossFcn: 1
               LearnRate: 1.0000e-03
               MaxEpochs: 100
           MiniBatchSize: 100
        ODESolverOptions: [1x1 idoptions.nssDLODE45]
        InputInterSample: 'spline'
    
    

    Use dot notation to access the object properties.

    adamOpts.LearnRate = 0.01;

    You can now use sgdmOpts as the value of a name-value pair input argument to nlssest to specify the training options for the state (StateOptions=sgdmOpts) or the output (OutputOptions=sgdmOpts) network of an idNeuralStateSpace object.

    Output Arguments

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    Adam options set object, specified as a nssTrainingADAM object.

    SGDM options set object, specified as a nssTrainingSGDM object.

    Version History

    Introduced in R2022b