Saliha Loumi

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In this article a modification of the algorithm of the fuzzy ART network, aiming at returning it supervised is carried out. It consists of the search for the comparison, training and vigilance parameters giving the minimum quadratic distances between the output of the training base and those obtained by the network. The same process is applied for the(More)
In this paper we propose a hardware architecture of the Fuzzy ART's generalization applied to the classification of multi-spectral image acquired by the Algerian satellite ALSAT 1. The developed solution is original and exploits the maximum benefit of the embedded resources in the reconfigurable circuits FPGAs. The goal is the research of a scalable(More)
This paper presents a new learning algorithm for the fuzzy adaptive resonance theory. The modification allows us to supervise the fuzzy ART and to simplify ARTMAP network. It consists to find network’s parameters (comparison, training and vigilance) which gave the minimum quadratic distances between the output of the training base and those obtained by the(More)
The aim of this paper is to look for efficient algorithms allowing to deal with taking into account the modelization and the cartography of the sea components. Through the analysis carried on the family of Growing Neural Gas with an evolutive (scalable) architecture and with non supervised competitive learning, some modifications and improvements (modified(More)
In this article, we propose a methodology for the characterization of the suspended matter along Algiers’s bay. An approach by multi layers perceptron (MLP) with training by back propagation of the gradient optimized by the algorithm of Levenberg Marquardt (LM) is used. The accent was put on the choice of the components of the base of training where a(More)
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