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Universal Functions Originator—Part II: Evaluation

In the first part of this study, a brief overview about the basic design of the universal functions originator (UFO) is introduced without conducting any numerical experiment to evaluate its performance and explore its capabilities. This part of the study is allocated to cover the practical side of the proposed new AI computing system (patent-pending). For this mission, a highly advanced graphical user interface (GUI) has been designed with multiple options to see how UFO can perform against different data size problems. The current version of the GUI is based on the one output stream structure presented in the first part of the study. Two “function approximation” problems are given in this paper. After being solved by UFO, they are also solved by regression analysis, support vector machines (SVMs), and artificial neural networks (ANNs); using different approaches and configurations. Based on the results obtained from these experiments, there is an obvious evidence that UFO is a very competitive computing system; and thus it could open new promising research areas.