Computes the classification error statistics for the supplied network patterns and their associated classifications.

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.

Calculates the classification probablities for the input pattern x, and returns either 0 or 1 identifying the class with the highest probability.

Returns classification probabilities for the input pattern x.

Returns a string that represents the current object.

Trains the classification neural network using supplied trainer and patterns.