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A distributed classifier based on Yprel networks cooperation

Identifieur interne : 002B65 ( Main/Exploration ); précédent : 002B64; suivant : 002B66

A distributed classifier based on Yprel networks cooperation

Auteurs : Emmanuel Stocker [France] ; Yves Lecourtier [France] ; Abdel Ennaji [France]

Source :

RBID : ISTEX:DFA20A2DA5858B207AADF54C1A823CF63EB08225

Abstract

Abstract: In this paper we present a scheme of classification based on a particular processing element (“neuron”) called Yprel. The main characteristics of the approach are: (i) an Yprel classifier is a set of Yprels networks, each network being associated with a particular class; (ii) the learning is supervised and conducted class by class; (iii) the structure of the network is not a priori chosen, but is determined step by step during the learning process; (iv) the learning process is incremental: each network improves its own learning base with the errors of the previous test; (v) networks cooperate: each network can use the outputs of the previously builded networks. Preliminary results are given on a well-known classification task (recognition of typographic characters).

Url:
DOI: 10.1007/3-540-59497-3_193


Affiliations:


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Le document en format XML

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