An oracle based on the general regression neural network

The general regression neural network is well known to be an extremely effective prediction model in a wide variety of problems. It has been established that in many prediction problems, the results obtained by intelligently combining the outputs of several different prediction models are generally superior to the results obtained by using any one of the models. An overseer model that combines predictions from other independently trained prediction models is often called an oracle. The paper describes how the general regression neural network can be modified to serve as a powerful oracle for combining decisions from multiple arbitrary models.