Hendel Fatiha

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  • Hendel mounia, Benyettou Abdelkader, Hendel Fatiha, Khelil Hiba, Mohammed Boudiaf
  • 2010
In this paper, an electrocardiogram (ECG) beat classification system is proposed to discriminate four ECG beat types. This system is based on a fusion of two probabilistic neural networks; our main objective is to minimize the risk of error diagnosis. The first network is RBFNN (Radial Basis Functions Neural Network), it receives 11 temporal parameters and(More)
We present in this article, the realisation of reactive navigation module based on neural networks Like Temporal Radial Basis Functions (TRBF), with respect of security constraints and inherent robustness while using an Orthogonal Least Square algorithm (OLS). Applied to a structured type like interior of building, the mobile robot must assure its task of(More)
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