Neural network
Declaration Syntax Members| All Members | Constructors | Methods | Properties | Fields | |
| Icon | Member | Description |
|---|---|---|
 | ANN_MLP(Matrix<(Of <(Int32>)>), ANN_MLP_ACTIVATION_FUNCTION, Double, Double) |
Create a neural network using the specific parameters
|
 | _ptr |
A pointer to the unmanaged object
(Inherited from UnmanagedObject.) |
| Clear()()() |
Clear the statistic model
(Inherited from StatModel.) |
| Dispose()()() |
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.) |
 | Dispose(Boolean) |
Release the all the memory associate with this object
(Inherited from DisposableObject.) |
| DisposeObject()()() |
Release the memory associated with this neural network
(Overrides DisposableObject.DisposeObject()()().) |
| Equals(Object) | (Inherited from Object.) |
| Finalize()()() |
Destructor
(Inherited from DisposableObject.) |
| GetHashCode()()() | Serves as a hash function for a particular type. (Inherited from Object.) |
| GetType()()() | Gets the Type of the current instance. (Inherited from Object.) |
| Load(String) |
Load the statistic model from file
(Inherited from StatModel.) |
| MemberwiseClone()()() | Creates a shallow copy of the current Object. (Inherited from Object.) |
| Predict(Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>)) |
Predit the response of the samples |
 | Ptr |
Pointer to the unmanaged object
(Inherited from UnmanagedObject.) |
| Save(String) |
Save the statistic model to file
(Inherited from StatModel.) |
| ToString()()() | (Inherited from Object.) |
| Train(Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Int32>)>), MCvANN_MLP_TrainParams, ANN_MLP_TRAINING_FLAG) |
Train the ANN_MLP model with the specific paramters
|
Inheritance Hierarchy