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Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection

 

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Opened Access Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection
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Author: Tallón Ballesteros, Antonio Javier
Hervás Martínez, César
Riquelme Santos, José Cristóbal
Ruiz, Roberto
Department: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Date: 2011
Published in: New Challenges on Bioinspired Applications Volume 6687 of the series Lecture Notes in Computer Science
ISBN/ISSN: 978-3-642-21325-0
Document type: Chapter of Book
Abstract: This paper introduces a methodology that improves the accuracy of a two-stage algorithm in evolutionary product unit neural networks for classification tasks by means of feature selection. A couple of filters have been taken into consideration to...
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Size: 141.7Kb
Format: PDF

URI: http://hdl.handle.net/11441/42174

DOI: http://dx.doi.org/10.1007/978-3-642-21326-7_41

This work is under a Creative Commons License: 
Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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