| QuasiNewtonTrainer Class |
Trains a Network using the quasi-Newton
method, MinUnconMultiVar.
Inheritance HierarchyNamespace: Imsl.DataMining.Neural
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0
SyntaxThe QuasiNewtonTrainer type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | QuasiNewtonTrainer |
Constructs a QuasiNewtonTrainer object.
|
Methods| Name | Description | |
|---|---|---|
| Clone |
Clones a copy of the trainer.
|
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
| GetError |
Returns the function used to compute the error to be minimized.
|
| GetHashCode | Serves as a hash function for a particular type. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| SetError |
Sets the function that computes the network error.
|
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
| Train |
Trains the neural network using supplied training patterns.
|
Fields| Name | Description | |
|---|---|---|
  | SUM_OF_SQUARES |
Compute the sum of squares error.
|
Properties| Name | Description | |
|---|---|---|
 | EpochNumber |
The epoch number for the trainer.
|
 | Error |
The error function used by the trainer.
|
| ErrorGradient |
The value of the gradient of the error function with respect to the
Weights.
|
| ErrorStatus |
The error status from the trainer.
|
| ErrorValue |
The final value of the error function.
|
| GradientTolerance |
The gradient tolerance.
|
| MaximumStepsize |
The maximum step size.
|
| MaximumTrainingIterations |
The maximum number of iterations to use in a training.
|
| NumberOfProcessors |
Perform the parallel calculations with the maximum possible number of
processors set to NumberOfProcessors.
|
| ParallelMode |
The trainer to be used in multi-threaded EpochTainer.
|
| StepTolerance |
The scaled step tolerance.
|
| TrainingIterations |
The number of iterations used during training.
|
| UseBackPropagation |
Specify the use of the back propagation algorithm for gradient
calculations during network training.
|
See Also