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Inicio  /  Algorithms  /  Vol: 15 Par: 8 (2022)  /  Artículo
ARTÍCULO
TITULO

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

Ioannis G. Tsoulos    

Resumen

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

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