(JFCG) مجلة المالية وحوكمة الشركـــــات

Permanent URI for this community

Now showing 1 - 1 of 1

A NEW HYBRID EXPANSION FUNCTION BASED MUTUAL INFORMATION FOR A MULTILAYER NEURAL NETWORKS OPTIMIZATION
(Oum-El-Bouaghi University, 2017) Ncibi, Kais; Djenina, Amor; Sadraoui, Tarek; MILI, Faycel
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