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ANN_MLP Class
http://www.emgu.com
Neural network
Inheritance Hierarchy

Namespace: Emgu.CV.ML
Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 3.0.0.2161 (3.0.0.2161)
Syntax
public class ANN_MLP : UnmanagedObject, IStatModel, 
	IAlgorithm

The ANN_MLP type exposes the following members.

Constructors
  NameDescription
Public methodANN_MLP
Create a neural network using the specific parameters
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Methods
  NameDescription
Public methodDispose
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.)
Protected methodDisposeObject
Release the memory associated with this neural network
(Overrides DisposableObjectDisposeObject.)
Public methodEquals
Determines whether the specified Object is equal to the current Object.
(Inherited from Object.)
Protected methodFinalize
Destructor
(Inherited from DisposableObject.)
Public methodGetHashCode
Serves as a hash function for a particular type.
(Inherited from Object.)
Public methodGetType
Gets the type of the current instance.
(Inherited from Object.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Protected methodReleaseManagedResources
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.)
Public methodSetActivationFunction
Initialize the activation function for each neuron.
Public methodSetLayerSizes
Sets the layer sizes.
Public methodSetTrainMethod
Sets training method and common parameters.
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
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Extension Methods
  NameDescription
Public Extension MethodClear
Clear the statistic model
(Defined by StatModelExtensions.)
Public Extension MethodPredict
Predicts response(s) for the provided sample(s)
(Defined by StatModelExtensions.)
Public Extension MethodRead
Reads algorithm parameters from a file storage.
(Defined by AlgorithmExtensions.)
Public Extension MethodSave
Save the statistic model to file
(Defined by StatModelExtensions.)
Public Extension MethodTrain(TrainData, Int32)Overloaded.
Trains the statistical model.
(Defined by StatModelExtensions.)
Public Extension MethodTrain(IInputArray, DataLayoutType, IInputArray)Overloaded.
Trains the statistical model.
(Defined by StatModelExtensions.)
Public Extension MethodWrite
Stores algorithm parameters in a file storage
(Defined by AlgorithmExtensions.)
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Fields
  NameDescription
Protected field_ptr
A pointer to the unmanaged object
(Inherited from UnmanagedObject.)
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Properties
  NameDescription
Public propertyBackpropMomentumScale
BPROP: Strength of the momentum term (the difference between weights on the 2 previous iterations)
Public propertyBackpropWeightScale
BPROP: Strength of the weight gradient term
Public propertyPtr
Pointer to the unmanaged object
(Inherited from UnmanagedObject.)
Public propertyRpropDW0
RPROP: Initial value Delta_0 of update-values Delta_{ij}
Public propertyRpropDWMax
RPROP: Update-values upper limit
Public propertyRpropDWMin
RPROP: Update-values lower limit
Public propertyRpropDWMinus
RPROP: Decrease factor
Public propertyRpropDWPlus
RPROP: Increase factor
Public propertyTermCriteria
Termination criteria of the training algorithm
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See Also