6 documents found, page 1 of 1
Design of an Optimal Neural Network for Evaluating the Thickness and Conductivi...
Ayad, A.; Semmah, A.; Ramdani, Y.; Hamdaoui, H.; Faraoun, K. M.This paper presents the application of non-destructive evaluation by eddy currents for the determination of the geometrical and physical parameters of metal sheet, obedient to a sensor of a double coil (method of Adding-Opposing (A O)). The forward problem is solved by using an analytical model. The electrical impedance for coil is measured for two frequencies ranging from 1 kHz and 1 MHz. The inversion method ...
Data dimensionality reduction based on genetic selection of feature subsets
Faraoun, K. M.; Rabhi, A.In the present paper, we show that a multi-classification process can be significantly enhanced by selecting an optimal set of the features used as input for the training operation. The selection of such a subset will reduce the dimensionality of the data samples and eliminate the redundancy and ambiguity introduced by some attributes. The used classifier can then operate only on the selected features to perfor...
Data dimensionality reduction based on genetic selection of feature subsets
Faraoun, K. M.; Rabhi, A.In the present paper, we show that a multi-classification process can be significantly enhanced by selecting an optimal set of the features used as input for the training operation. The selection of such a subset will reduce the dimensionality of the data samples and eliminate the redundancy and ambiguity introduced by some attributes. The used classifier can then operate only on the selected features to perfor...
A Novel normaliszation based schema for digital images watermarking
Faraoun, K. M.; Rabhi, A.Geometric distortions are generally simple and effective attack to many existing watermarking methods that can make detection of the embedded watermark difficult or even impossible. A robust watermarking system must be able to encounter such attacks generally based on rotation, scaling and translation operators (RST attacks). In the present paper, we propose a new robust watermarking schema based on logo embedd...
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...