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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 628Estimating the Uncertainty of a Multilayer...

Estimating the Uncertainty of a Multilayer Perceptron Using the Monte Carlo Method

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Abstract:

Artificial neural networks have become a powerful modeling tool. However, although they obtain an output with very good accuracy, they provide no information about the uncertainty of the network or its coverage intervals. This study describes the application of the Monte Carlo method to obtain the output uncertainty and coverage intervals of a particular type of artificial neural network: the multilayer perceptron.

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Periodical:

Advanced Materials Research (Volume 628)

Pages:

324-329

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.628.324

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Online since:

December 2012

Authors:

F. García Fernández, L. García Esteban, P. de Palacios, A. García-Iruela, R. Cabedo Gallén

Keywords:

Artificial Neural Network (ANN), Monte Carlo, Uncertainty

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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