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....
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Institute for the Science of Sintering, Beograd
2009-01-01
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| Series: | Science of Sintering |
| Subjects: | |
| Online Access: | http://www.doiserbia.nb.rs/img/doi/0350-820X/2009/0350-820X0903257Y.pdf |