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Support Vector Machines versus Artificial Neural Networks for Wood Dielectric Loss Factor Estimation
Abstract : This research effort aims in the estimation of Wood Loss Factor by employing Support Vector Machines. For this purpose experimental data for two different wood species were used. The estimation of the dielectric properties of wood was done by using various Kernel algorithms as a function of both ambient electro-thermal conditions applied during drying of wood and basic wood chemistry. Actually the best fit neural models that were developed in a previous effort of our research team were compared to the Kernels’ approaches in order to determine the optimal ones.
Cited literature [17 references]
https://hal.inria.fr/hal-01571343
Contributor : Hal Ifip <>
Submitted on : Wednesday, August 2, 2017 - 11:41:35 AM
Last modification on : Friday, December 18, 2020 - 5:30:03 PM
Contributor : Hal Ifip <>
Submitted on : Wednesday, August 2, 2017 - 11:41:35 AM
Last modification on : Friday, December 18, 2020 - 5:30:03 PM
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