Prediction of the sintering shrinkage of glass-alumina functionally graded materials by a BP artificial neural network

Prediction of the sintering shrinkage of glass-alumina functionally graded materials by a BP artificial neural network

The shrinkage of the glass-alumina functionally graded materials (G-A FGMs) as a function of sintering temperature, layers, and the alumina content was predicted by a back propagation artificial neural network (BP-ANN). The BP-ANN was composed of an input layer, a hidden layer, and an output layer....

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Bibliographic Details
Main Authors: Yu C.L., Yang H., Zhao D.C., Liu C.C., Zhang T., Jiang H.T.
Format: Article
Language:English
Published: International Institute for the Science of Sintering, Beograd 2009-01-01
Series:Science of Sintering
Subjects:
functionally graded materials
neural networks
glass
alumina
shrinkage
Online Access:http://www.doiserbia.nb.rs/img/doi/0350-820X/2009/0350-820X0903257Y.pdf

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