An “intelligent” approach based on side-by-side cascade-correlation neural networks for estimating thermophysical properties from photothermal responses

Stéphane Grieu; Olivier Faugeroux; Adama Traoré; Bernard Claudet; Jean-Luc Bodnar

doi:10.1051/epjap/2014140254

An “intelligent” approach based on side-by-side cascade-correlation neural networks for estimating thermophysical properties from photothermal responses

Stéphane Grieu ¹ Olivier Faugeroux ¹ Adama Traoré ¹ Bernard Claudet ¹ Jean-Luc Bodnar ²

1 PROMES - Procédés, Matériaux et Energie Solaire

2 GRESPI - Groupe de Recherche en Sciences Pour l'Ingénieur - EA 4694

Abstract : In the present paper, an artificial-intelligence-based approach dealing with the estimation of thermophysical properties is designed and evaluated. This new and “intelligent” approach makes use of photothermal responses obtained when subjecting materials to a light flux. So, the main objective of the present work was to estimate simultaneously both the thermal diffusivity and conductivity of materials, from front-face or rear-face photothermal responses to pseudo random binary signals. To this end, we used side-by-side feedforward neural networks trained with the cascade-correlation algorithm. In addition, computation time was a key point to consider. That is why the developed algorithms are computationally tractable.

Type de document :

Article dans une revue

European Physical Journal: Applied Physics, EDP Sciences, 2015, 69 (1), 8 p. 〈10.1051/epjap/2014140254〉

Domaine :

Physique [physics]

Liste complète des métadonnées

https://hal-univ-perp.archives-ouvertes.fr/hal-01175565
Contributeur : Olivier Savoyat <>
Soumis le : vendredi 10 juillet 2015 - 16:08:30
Dernière modification le : jeudi 25 janvier 2018 - 01:01:46

An “intelligent” approach based on side-by-side cascade-correlation neural networks for estimating thermophysical properties from photothermal responses

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An “intelligent” approach based on side-by-side cascade-correlation neural networks for estimating thermophysical properties from photothermal responses

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