ANN_MLP Class |
Namespace: Emgu.CV.ML
The ANN_MLP type exposes the following members.
Name | Description | |
---|---|---|
![]() | BackpropMomentumScale |
BPROP: Strength of the momentum term (the difference between weights on the 2 previous iterations)
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![]() | BackpropWeightScale |
BPROP: Strength of the weight gradient term
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![]() | Ptr |
Pointer to the unmanaged object
(Inherited from UnmanagedObject.) |
![]() | RpropDW0 |
RPROP: Initial value Delta_0 of update-values Delta_{ij}
|
![]() | RpropDWMax |
RPROP: Update-values upper limit
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![]() | RpropDWMin |
RPROP: Update-values lower limit
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![]() | RpropDWMinus |
RPROP: Decrease factor
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![]() | RpropDWPlus |
RPROP: Increase factor
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![]() | TermCriteria |
Termination criteria of the training algorithm
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Name | Description | |
---|---|---|
![]() | Dispose |
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.) |
![]() | DisposeObject |
Release the memory associated with this neural network
(Overrides DisposableObjectDisposeObject.) |
![]() | Equals | (Inherited from Object.) |
![]() | Finalize |
Destructor
(Inherited from DisposableObject.) |
![]() | GetHashCode | (Inherited from Object.) |
![]() | GetType | (Inherited from Object.) |
![]() | MemberwiseClone | (Inherited from Object.) |
![]() | ReleaseManagedResources |
Release the managed resources. This function will be called during the disposal of the current object.
override ride this function if you need to call the Dispose() function on any managed IDisposable object created by the current object
(Inherited from DisposableObject.) |
![]() | SetActivationFunction |
Initialize the activation function for each neuron.
|
![]() | SetLayerSizes |
Sets the layer sizes.
|
![]() | SetTrainMethod |
Sets training method and common parameters.
|
![]() | ToString | (Inherited from Object.) |
Name | Description | |
---|---|---|
![]() | _ptr |
A pointer to the unmanaged object
(Inherited from UnmanagedObject.) |
Name | Description | |
---|---|---|
![]() | Clear |
Clear the statistic model
(Defined by StatModelExtensions.) |
![]() | Predict |
Predicts response(s) for the provided sample(s)
(Defined by StatModelExtensions.) |
![]() | Read |
Reads algorithm parameters from a file storage.
(Defined by AlgorithmExtensions.) |
![]() | Save |
Save the statistic model to file
(Defined by StatModelExtensions.) |
![]() | Train(TrainData, Int32) | Overloaded.
Trains the statistical model.
(Defined by StatModelExtensions.) |
![]() | Train(IInputArray, DataLayoutType, IInputArray) | Overloaded.
Trains the statistical model.
(Defined by StatModelExtensions.) |
![]() | Write |
Stores algorithm parameters in a file storage
(Defined by AlgorithmExtensions.) |