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Neural network frames. Application to biochemical kinetic diagnosis

Identifieur interne : 002F87 ( Main/Merge ); précédent : 002F86; suivant : 002F88

Neural network frames. Application to biochemical kinetic diagnosis

Auteurs : O. Iordache [France] ; J. P. Corriou ; L. Garrido-Sanchez ; C. Fonteix ; Daniel Tondeur [France]

Source :

RBID : Pascal:94-0034164

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English descriptors

Abstract

The diagnosis of chemical kinetics in chemical plants can be viewed as a process of classification. Recorded data can be associated with different types of kinetic models and the type of kinetics can be classified by comparison with previously recorded data. A new frame for a neural network (NN) is proposed in order to carry out the classification. The potentialities of this adaptive, hierarchized frame organized as a «polystochastic» model have been investigated here. The underlying approach is based on the use of distances between two paths of observed kinetic data. A matrix of distances results from a set of possible kinetic models, and algorithms for classifying models are developed using this matrix

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Pascal:94-0034164

Le document en format XML

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   |texte=   Neural network frames. Application to biochemical kinetic diagnosis
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