๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Predicting the Fatigue Life of Different Composite Materials Using Artificial Neural Networks

โœ Scribed by M. Al-Assadi; H. El Kadi; I. M. Deiab


Publisher
Springer Netherlands
Year
2009
Tongue
English
Weight
439 KB
Volume
17
Category
Article
ISSN
0929-189X

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Prediction of the functional properties
โœ D.J. Scott; P.V. Coveney; J.A. Kilner; J.C.H. Rossiny; N.Mc N. Alford ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 296 KB

We describe the development of artificial neural networks (ANN) for the prediction of the properties of ceramic materials. The ceramics studied here include polycrystalline, inorganic, non-metallic materials and are investigated on the basis of their dielectric and ionic properties. Dielectric mater