QFC: A Parallel Software Tool for Feature Construction, Based on Grammatical Evolution

This paper presents and analyzes a programming tool that implements method for classification function regression problems. builds new features from existing ones with the assistance of hybrid algorithm makes use artificial neural networks grammatical evolution. The implemented software exploits modern multi-core computing units faster execution. has been applied to variety problems, an extensive comparison other methods computational intelligence is made.