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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 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)
In this paper, we propose a methodology for the characterization of the suspended particulate matter along the Algiers’s bay. An approach by multi-layer 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(More)
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