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.

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.