Determines whether the specified Object is equal to the current Object.

Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.

Serves as a hash function for a particular type.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Sets the random number generators used to select random training patterns in stage I.

Returns a String that represents the current Object.

Trains the neural network using supplied training patterns.

The number of randomly selected training patterns in each stage I epoch.

The value of the gradient of the error function with respect to the Weights.

The training error status.

The value of the error function.

The number of epochs used during stage I training.

The random number generator used to perturb the stage I guesses.

The stage 1 trainer.

The stage 1 trainer.