Clones a copy of the trainer.

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

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

Returns the function used to compute the error to be minimized.

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 function that computes the network error.

Returns a string that represents the current object.

Trains the neural network using supplied training patterns.