Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Hayat Yedjour"'
1
Extraction of the association rules from artificial neural networks based on the multiobjective optimization
Autor: Dounia Yedjour, Hayat Yedjour, Samira Chouraqui
Publikováno v: Network (Bristol, England). 33(3-4)
Artificial Neural Network (ANN) is one of the powerful techniques of machine learning. It has shown its effectiveness in both prediction and classification problems. However, in some fields there is still some reticence towards their use mainly the f
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ae2b9b87bd33b99226bb491d1312dcd
https://pubmed.ncbi.nlm.nih.gov/36260493
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2
The Hodgkin–Huxley neuron model for motion detection in image sequences
Autor: Olivier Lezoray, Dounia Yedjour, Hayat Yedjour, Boudjelal Meftah
Publikováno v: Neural Computing and Applications
Neural Computing and Applications, Springer Verlag, In press, ⟨10.1007/s00521-021-06446-0⟩
International audience; In this paper, we consider a biologically inspired spiking neural network model for motion detection. The proposed model simulates the neurons' behavior in the cortical area MT to detect different kinds of motion in image sequ
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1744182164617f7a373bf6567a76115e
https://doi.org/10.1007/s00521-021-06446-0
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4
Symbolic interpretation of artificial neural networks using genetic algorithms
Autor: Abdelkader Benyettou, Dounia Yedjour, Hayat Yedjour
Publikováno v: Volume: 26, Issue: 5 2465-2475
Turkish Journal of Electrical Engineering and Computer Science
The knowledge acquired during the learning of artificial neural networks (ANNs) is coded as values in synaptic weights, which makes their interpretations difficult, hence the name of the black box. The aim of this work is to provide a comprehensible
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4377eb7e59a211f6cfa6198019ccc85b
https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/45630/574390
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5
Edge Detection Based on Hodgkin-Huxley Neuron Model Simulation
Autor: Olivier Lezoray, Boudjelal Meftah, Abdelkader Benyettou, Hayat Yedjour
Publikováno v: Cognitive Processing
Cognitive Processing, Springer Verlag, 2017, 18 (3), pp.315-323. ⟨10.1007/s10339-017-0803-z⟩
International audience; In this paper, we propose a spiking neural network model for edge detection in images. The proposed model is biologically inspired by the mechanisms employed by natural vision systems, more specifically by the biologically ful
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c113fb5222648d7bd6a9f6f8490167f4
https://hal.archives-ouvertes.fr/hal-01579173
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6
Motion Boundary Detection Improved by Bio-Inspired Approach
Autor: Dounia Yedjour, Meftah Boudjelal, Hayat Yedjour
Publikováno v: International Journal on Communications Antenna and Propagation (IRECAP). 9:343
Motion detection in video sequences is a problem that different techniques and algorithms have faced. Several computer vision applications require an efficient detection stage. A reliable motion detection system should work under a wide range of a va
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::537a4dea6b5d63b200c2538e9d39487a
https://doi.org/10.15866/irecap.v9i5.17346
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