✦ LIBER ✦

The inverse of material properties of functionally graded pipes using the dispersion of guided waves and an artificial neural network

✍ Scribed by Jiangong Yu; Bin Wu

Book ID: 104064952
Publisher: Elsevier Science
Year: 2009
Tongue: English
Weight: 344 KB
Volume: 42
Category: Article
ISSN: 0963-8695
DOI: 10.1016/j.ndteint.2009.02.006

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Prediction of the functional properties

Prediction of the functional properties of ceramic materials from composition using artificial neural networks

✍ D.J. Scott; P.V. Coveney; J.A. Kilner; J.C.H. Rossiny; N.Mc N. Alford 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 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

Use of Artificial Neural Networks for th

Use of Artificial Neural Networks for the Development of an Inverse Kinematic Solution and Visual Identification of Singularity Zone(s)

✍ Aggarwal, Luv; Aggarwal, Kush; Urbanic, Ruth Jill 📂 Article 📅 2014 🏛 Elsevier 🌐 English ⚖ 917 KB

[IEEE 6th International Conference on Pr

[IEEE 6th International Conference on Properties and Applications of Dielectric Materials - Xi'an, China (21-26 June 2000)] Proceedings of the 6th International Conference on Properties and Applications of Dielectric Materials (Cat. No.00CH36347) - Recognition of partial discharge patterns in motors using neural network

✍ Yu Ming, ; Xu Yang, ; Liu Na, ; Jia Xin, ; Cao Xiaolong, ; Qiu Changrong, 📂 Article 📅 2000 🏛 IEEE 🌐 English ⚖ 208 KB