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Journal articles
An “intelligent” approach based on side-by-side cascade-correlation neural networks for estimating thermophysical properties from photothermal responses
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.
https://hal-univ-perp.archives-ouvertes.fr/hal-01175565
Contributor : Olivier Savoyat Connect in order to contact the contributor
Submitted on : Friday, July 10, 2015 - 4:08:30 PM
Last modification on : Thursday, October 14, 2021 - 1:10:08 PM
Contributor : Olivier Savoyat Connect in order to contact the contributor
Submitted on : Friday, July 10, 2015 - 4:08:30 PM
Last modification on : Thursday, October 14, 2021 - 1:10:08 PM
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