2 documents found, page 1 of 1
Neural networks learning improvement using the K-means clustering algorithm to ...
Faraoun, K. M.; Boukelif, A.In the present work, we propose a new technique to enhance the learning capabilities and reduce the computation intensity of a competitive learning multi-layered neural network using the K-means clustering algorithm. The proposed model use multi-layered network architecture with a backpropagation learning mechanism. The K-means algorithm is first applied to the training dataset to reduce the amount of samples t...
Artificial Immune Systems for text-dependent speaker recognition
Faraoun, K. M.; Boukelif, A.This paper shows the potential accomplishments of artificial immune systems (in particular, the negative selection algorithm) application to the problem of speaker recognition. Both the use of binary representation of original signal and that of its Fast Fourier Transform in a real-number representation are analysed. A number of experiments are performed on different datasets to examine the performance evolutio...