JOURNAL OF FINANCE & CORPORATE GOVERNANCE
Volume 1, Numéro 2, Pages 07-23
2017-12-30
Authors : Kais Ncibi . Djenina Amor . Sadraoui Tarek . Faycel Mili .
Function expansion was used to expand initial features based on a non linear transformation. Many known expansion functions are found such the trigonometric, the polynomial, the Legendre polynomial, the power series, the exponential and the logarithmic transformation. This paper present a comparison between different expansion functions based on mutual information and different performance functions. We propose a new expansion process able to improve the correspondent mutual information and the final performance. The process was tested; using different benchmark databases, and shows his ability to improve results of classification problems
Function expansion; multilayer perceptron, Classification, mutual information, features selection.
Hellal Aouatef
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Djeddou Messaoud
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Loukam Imed
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A. Hameed Ibrahim
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Al Dallal Jehad
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Shawaqfah Moayyad
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pages 69-83.
Aberkane Salah
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pages 98-103.
Laribi M.
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Barazane L.
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Larbès C.
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Malek A.
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pages 131-144.
Benyahia Samia
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Meftah Boudjelal
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pages 23-27.