| LeastSquaresTrainer Class |
Trains a FeedForwardNetwork using a
Levenberg-Marquardt algorithm for minimizing a sum of squares error.
Inheritance HierarchyNamespace: Imsl.DataMining.Neural
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0
SyntaxThe LeastSquaresTrainer type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | LeastSquaresTrainer |
Creates a LeastSquaresTrainer.
|
Methods| Name | Description | |
|---|---|---|
| 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.) |
| 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.) |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
| Train |
Trains the neural network using supplied training patterns.
|
Properties| Name | Description | |
|---|---|---|
 | EpochNumber |
The epoch number for 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.
|
| FalseConvergenceTolerance |
The false convergence tolerance.
|
| GradientTolerance |
The gradient tolerance.
|
| InitialTrustRegion |
The initial trust region.
|
| MaximumStepsize |
The maximum step size.
|
| MaximumTrainingIterations |
The maximum number of iterations used by the nonlinear least squares
solver.
|
| ParallelMode |
The trainer to be used in multi-threaded EpochTainer.
|
| RelativeTolerance |
The relative tolerance.
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| StepTolerance |
The step tolerance used to step between Weights.
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See Also