Zobrazeno 1 - 10 of 11 pro vyhledávání: '"Dounia 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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3
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
Extracting Classification Rules from Artificial Neural Network Trained with Discretized Inputs
Autor: Dounia Yedjour
Publikováno v: Neural Processing Letters. 52:2469-2491
Rule extraction from artificial neural networks remains important task in complex diseases such as diabetes and breast cancer where the rules should be accurate and comprehensible. The quality of rules is improved by the improvement of the network cl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cd2255199ea09bad8e9c86a75a08b621
https://doi.org/10.1007/s11063-020-10357-x
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5
Application of the Genetic Algorithm to the Rule Extraction Problem
Autor: Dounia Yedjour
Publikováno v: Artificial Intelligence and Renewables Towards an Energy Transition ISBN: 9783030638450
Artificial Neural Networks are considered as a black box. They are unable to explain its classification decision. Several rule extraction algorithms from trained neural networks have been developed to overcome this problem. The aim is to have a set o
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e694de1db56b8e4b5a7998557af4f25e
https://doi.org/10.1007/978-3-030-63846-7_57
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6
Symbolic interpretation of artificial neural networks based on multiobjective genetic algorithms and association rules mining
Autor: Dounia Yedjour, Abdelkader Benyettou
Publikováno v: Applied Soft Computing. 72:177-188
Rule extraction from neural networks is an important task. In practice, decision makers often settle for using less accurate, but comprehensible models, typically decision trees where the solutions are given in graphical form easily interpretable. Th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::272f0f947ce5ac87ca133b79600fe234
https://doi.org/10.1016/j.asoc.2018.08.007
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7
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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8
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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